Dr. Anshuman Dixit

Academics

Degree	University/Institution
M. Pharm	Dept. of Pharm. Sci., Dr. H. S. Gour University, Sagar, M. P. (India).
Ph.D.	Central Drug Research Institute (CDRI), Lucknow, India

Work Experience

Position	University/Organisation	Period
Scientist F	Institute of Life Sciences, Bhubaneswar, Odisha	2024-Present
Scientist E	Institute of Life Sciences, Bhubaneswar, Odisha	2020-2023
Scientist D	Institute of Life Sciences, Bhubaneswar, Odisha	2016-2019
Scientist C	Institute of Life Sciences, Bhubaneswar, Odisha	2011-2015
Postdoctoral Research Fellow	Center for Bioinformatics, University of Kansas, USA	2007-2011

Awards & Recognition

Research

Details
The laboratory aims to establish an interdisciplinary platform integrating computational biology, AI-driven drug discovery, structural bioinformatics, multi-omics, and translational therapeutics for accelerated biomedical innovation. Through advanced computational frameworks and experimental validation, the group seeks to contribute toward precision medicine, marine bioprospecting, next-generation healthcare solutions, and enzyme engineering. Core Research Areas Structural Biology and Molecular Modelling Structural modelling and characterization of orphan GPCRs and disease-associated proteins using structural bioinformatics approaches. Molecular dynamics simulations (MDS) and computational biophysics studies for protein stability, conformational analysis, and protein–ligand interactions. Binding pocket prediction, mutational analysis, and structure-guided therapeutic target identification. Computational protein engineering and molecular modelling for drug discovery and translational biomedical applications. Recent research activity: Exploring the zinc binding as the key molecular switch for GPR39 activation through structural modelling and molecular dynamics simulation study. Drug Discovery, Cheminformatics and Network Pharmacology AI-guided drug discovery using virtual screening, molecular docking, pharmacophore modelling, and computer-aided drug design (CADD). Drug–target interaction prediction, QSAR modelling, ADMET analysis, and multi-target therapeutic prioritization. Cheminformatics and network pharmacology approaches for identifying bioactive compounds and pathway-level therapeutic mechanisms. Bioprospecting of marine metabolites, medicinal plants, phytochemicals, and natural products for novel therapeutic discovery. Recent research activity: Design and synthesis of pyrazolo[1,5-c]quinazolines as a novel class of TLR7/8 modulators, identifying structural pivots that switch activity from agonism to potent antagonism. By expanding the structure-activity relationship (SAR) of tricyclic heterocycles, the work provides a foundation for developing new therapeutic candidates for vaccines, autoimmune diseases, and cancer. (Detailed paper published in ChemMedChem, 2026) Artificial Intelligence and Machine Learning in Biomedicine Development of AI/ML predictive models for combinatorial therapy, targeted therapeutics, and precision medicine. Application of deep learning, ANN, GNN, HGNN, and Random Forest models in biomedical and drug discovery research. AI-based cancer image analysis and computational screening models for disease classification and therapeutic prediction. Integration of multimodal biological datasets for explainable AI and next-generation computational therapeutics. Recent research activity: Deep learning-based virtual screening framework that integrates protein flexibility and ensemble docking to explore a billion-scale chemical space for JAK1 inhibitors. The study successfully identified over 7,600 unique, drug-like scaffolds with high binding affinity, significantly expanding the novel chemical landscape beyond existing therapeutic options. (Detailed paper published in ACS Omega, 2026) Functional Genomics and Multi-Omics Whole Genome Sequencing (WGS), metagenomics, transcriptomics, and single-cell transcriptomics analysis. Multi-omics data integration using systems biology approaches, including WGCNA, MOFA, DEG, and genome-scale metabolic modelling (GEM). Biomarker discovery and pathway analysis for cancer biology, microbial therapeutics, and disease mechanism studies. Automated and scalable computational pipelines for large-scale genomics and bioinformatics data analysis. Recent research activity: Integrating RNA-sequencing and mutational data to identify dysregulated gene subnetworks driving breast invasive carcinoma (BRCA) across molecular subtypes and clinical stages, this study identifies NLGN3 and ANK2 as novel tumor suppressors whose restoration suppresses cancer cell growth and migration, highlighting their potential for precision diagnostics and targeted therapy. (Detailed paper published in Scientific Reports 2024) Cancer Therapeutics and Translational Bioinformatics Discovery and screening of novel therapeutic targets against OSCC, OSMF, HNSCC, and other oral pathologies. Computational identification of inhibitors, phytomolecules, and targeted therapeutics followed by experimental validation. Translational bioinformatics approaches for pathway-specific therapeutic development and precision oncology. Recent research activity: Using a reverse vaccinology approach, we designed a novel multi-epitope HEV vaccine by integrating highly immunogenic T-cell and B-cell epitopes from the ORF3, capsid, and polyproteins. The resulting construct demonstrated a broad global population coverage (86.85%) and stable molecular interactions, successfully triggering robust, long-lasting simulated immune responses in silico. (Detailed paper published in Journal of Viral Hepatitis, 2024) Enzyme Engineering and Computational Protein Design Computational design and engineering of thermostable enzymes for industrial and biomedical applications. Protein structure optimization, active-site engineering, and stability prediction using molecular modelling approaches. AI-assisted enzyme prediction and metagenomic-driven enzyme discovery pipelines. Structural and functional characterization of engineered enzymes using computational biochemistry methods. Recent research activity: Leveraging deep learning and protein embeddings from the BRENDA database, this research develops high-accuracy models to predict protein thermostability from amino acid sequences. The work facilitates rapid virtual screening and genome-wide identification of thermostable enzymes for industrial and pharmaceutical applications. Bioinformatics Pipeline and Database Development Development of automated workflows and scalable pipelines for WGS, metagenomics, transcriptomics, and multi-omics analysis. Design of chemoinformatics and network pharmacology platforms for computational therapeutics research. Database development for medicinal plants of Odisha, marine metabolites, and bioactive natural products. Recent research activity: GeMemiOM is a curated database that integrates genetic and epigenetic data for otitis media, featuring 87 associated genes and analysis of 1,567 variants in CpG islands. It provides a comprehensive resource for researchers to explore protein interactions, miRNA targets, and pathways to better understand the disease’s pathophysiology. (Detailed Study Published in Journal of Genetics and Genomics, 2024)

Details

The laboratory aims to establish an interdisciplinary platform integrating computational biology, AI-driven drug discovery, structural bioinformatics, multi-omics, and translational therapeutics for accelerated biomedical innovation. Through advanced computational frameworks and experimental validation, the group seeks to contribute toward precision medicine, marine bioprospecting, next-generation healthcare solutions, and enzyme engineering.

Core Research Areas

Structural Biology and Molecular Modelling

Structural modelling and characterization of orphan GPCRs and disease-associated proteins using structural bioinformatics approaches.
Molecular dynamics simulations (MDS) and computational biophysics studies for protein stability, conformational analysis, and protein–ligand interactions.
Binding pocket prediction, mutational analysis, and structure-guided therapeutic target identification.
Computational protein engineering and molecular modelling for drug discovery and translational biomedical applications.

Recent research activity:

Exploring the zinc binding as the key molecular switch for GPR39 activation through structural modelling and molecular dynamics simulation study.

Drug Discovery, Cheminformatics and Network Pharmacology

AI-guided drug discovery using virtual screening, molecular docking, pharmacophore modelling, and computer-aided drug design (CADD).
Drug–target interaction prediction, QSAR modelling, ADMET analysis, and multi-target therapeutic prioritization.
Cheminformatics and network pharmacology approaches for identifying bioactive compounds and pathway-level therapeutic mechanisms.
Bioprospecting of marine metabolites, medicinal plants, phytochemicals, and natural products for novel therapeutic discovery.

Recent research activity:

Design and synthesis of pyrazolo[1,5-c]quinazolines as a novel class of TLR7/8 modulators, identifying structural pivots that switch activity from agonism to potent antagonism. By expanding the structure-activity relationship (SAR) of tricyclic heterocycles, the work provides a foundation for developing new therapeutic candidates for vaccines, autoimmune diseases, and cancer. (Detailed paper published in ChemMedChem, 2026)

Artificial Intelligence and Machine Learning in Biomedicine

Development of AI/ML predictive models for combinatorial therapy, targeted therapeutics, and precision medicine.
Application of deep learning, ANN, GNN, HGNN, and Random Forest models in biomedical and drug discovery research.
AI-based cancer image analysis and computational screening models for disease classification and therapeutic prediction.
Integration of multimodal biological datasets for explainable AI and next-generation computational therapeutics.

Recent research activity:

Deep learning-based virtual screening framework that integrates protein flexibility and ensemble docking to explore a billion-scale chemical space for JAK1 inhibitors. The study successfully identified over 7,600 unique, drug-like scaffolds with high binding affinity, significantly expanding the novel chemical landscape beyond existing therapeutic options. (Detailed paper published in ACS Omega, 2026)

Functional Genomics and Multi-Omics

Whole Genome Sequencing (WGS), metagenomics, transcriptomics, and single-cell transcriptomics analysis.
Multi-omics data integration using systems biology approaches, including WGCNA, MOFA, DEG, and genome-scale metabolic modelling (GEM).
Biomarker discovery and pathway analysis for cancer biology, microbial therapeutics, and disease mechanism studies.
Automated and scalable computational pipelines for large-scale genomics and bioinformatics data analysis.

Recent research activity:

Integrating RNA-sequencing and mutational data to identify dysregulated gene subnetworks driving breast invasive carcinoma (BRCA) across molecular subtypes and clinical stages, this study identifies NLGN3 and ANK2 as novel tumor suppressors whose restoration suppresses cancer cell growth and migration, highlighting their potential for precision diagnostics and targeted therapy. (Detailed paper published in Scientific Reports 2024)

Cancer Therapeutics and Translational Bioinformatics

Discovery and screening of novel therapeutic targets against OSCC, OSMF, HNSCC, and other oral pathologies.
Computational identification of inhibitors, phytomolecules, and targeted therapeutics followed by experimental validation.
Translational bioinformatics approaches for pathway-specific therapeutic development and precision oncology.

Recent research activity:

Using a reverse vaccinology approach, we designed a novel multi-epitope HEV vaccine by integrating highly immunogenic T-cell and B-cell epitopes from the ORF3, capsid, and polyproteins. The resulting construct demonstrated a broad global population coverage (86.85%) and stable molecular interactions, successfully triggering robust, long-lasting simulated immune responses in silico. (Detailed paper published in Journal of Viral Hepatitis, 2024)

Enzyme Engineering and Computational Protein Design

Computational design and engineering of thermostable enzymes for industrial and biomedical applications.
Protein structure optimization, active-site engineering, and stability prediction using molecular modelling approaches.
AI-assisted enzyme prediction and metagenomic-driven enzyme discovery pipelines.
Structural and functional characterization of engineered enzymes using computational biochemistry methods.

Recent research activity:

Leveraging deep learning and protein embeddings from the BRENDA database, this research develops high-accuracy models to predict protein thermostability from amino acid sequences. The work facilitates rapid virtual screening and genome-wide identification of thermostable enzymes for industrial and pharmaceutical applications.

Bioinformatics Pipeline and Database Development

Development of automated workflows and scalable pipelines for WGS, metagenomics, transcriptomics, and multi-omics analysis.
Design of chemoinformatics and network pharmacology platforms for computational therapeutics research.
Database development for medicinal plants of Odisha, marine metabolites, and bioactive natural products.

Recent research activity:

GeMemiOM is a curated database that integrates genetic and epigenetic data for otitis media, featuring 87 associated genes and analysis of 1,567 variants in CpG islands. It provides a comprehensive resource for researchers to explore protein interactions, miRNA targets, and pathways to better understand the disease’s pathophysiology. (Detailed Study Published in Journal of Genetics and Genomics, 2024)

Publications

Details
2026 Kumar, K., Honda‐Okubo, Y., Das, P. K., Dixit, A., Singh, K. N., Winkler, D. A., … & Salunke, D. B. (2026). Design and Synthesis of New Pyrazolo [1, 5‐c] quinazolin‐5‐amines as Potential TLR7/8 Modulators. ChemMedChem, 21(8), e202501053. SK Kashaw, A Dixit, S Agarwal, P Nema, Bioinformatics, Computational Chemistry, and AI in Drug Innovation: Advances and Applications, CRC Press, 2026 B Raju, G Narendra, BK Mohanta, A Dixit, Exploration of Novel Chemical Spaces to Discover JAK1 Inhibitors: An Ensemble Docking-Guided Deep Learning Approach, ACS omega 11 (7), 11875-11889, 2026 S Patra, R Patra, PK Das, A Dixit, A Roychowdhury, WGS analysis and functional studies illustrate promising gene-signatures for probiotic attributes and molecular-targeted therapeutic prospects of Lactiplantibacillus plantarum LP-ARP2 , Archives of Microbiology 208 (2), 125, 2026 2025 Pooja Archana Sahani, Ritwik Patra, Anshuman Dixit, G protein-coupled receptors (GPCRs) in cancer prognosis and therapeutics: A comprehensive review, International Journal of Biological Macromolecules, 147665, 2025. 2024 Agarwal, S., Parija, M., Naik, S., Kumari, P., Mishra, S. K., Adhya, A. K., Kashaw, S. K., Dixit, A. Dysregulated gene subnetworks in breast invasive carcinoma reveal novel tumor suppressor genes, Scientific Reports, 2024 (Just accepted) 2023 Mohanty, S., Mishra, B.K., Dasgupta, M., Acharya, G., Singh, S., Naresh, P., Bhue, S., Dixit, A., Sarkar, A., Sahoo, M.R. Deciphering phenotyping, DNA barcoding, and RNA secondary structure predictions in eggplant wild relatives provide insights for their future breeding strategies. Scientific Reports, 13, 13829, 2023. Abhishek, Kondyarpu; Mohanta, Bineet Kumar; Kumari, Pratima; Dixit, Anshuman; Puppala, Venkat Ramchander; GeMemiOM—the first curated database on Genes, putative Methylation study targets, and microRNA targets for Otitis Media, Journal of Genetics and Genomics, 1673-8527(23)00162-5, 2023. Nagaraj, Viswanathan Arun; Ghosh, Sourav; Kundu, Rajib; Chandana, Manjunatha; Das, Rahul; Anand, Aditya; Beura, Subhashree; Bobde, Ruchir; Jain, Vishal; Prabhu, Sowmya; Behera, Prativa; Mohanty, Akshaya; Mahabala, Chakrapani; Satyamoorthy, Kapaettu; Suryawanshi, Amol; Dixit, Anshuman; Padmanaban, Govindarajan, “Distinct Evolution of Type I Glutamine Synthetase in Plasmodium and its Species-specific Requirement” Nature Communications, 14, 4216, 2023. Nayak, J.; Jena, Soumya Ranjan; Kumar, Sugandh; Kar, Sujata; Dixit, Anshuman; Samanta, Luna, Human sperm proteome reveals the effect of environmental borne seminal polyaromatic hydrocarbons exposome in etiology of idiopathic male factor infertility, Frontiers in Cell and Developmental Biology-Molecular and Cellular Pathology. Just Published, 2023. 2022 Kumari, Pratima; Kumar, Sugandh; Sethy, Madhusmita; Bhue, Shyamlal; Mohanta, Bineet Kumar; Dixit, Anshuman, Identification of Therapeutically Potential Targets and their Ligands for the Treatment of OSCC, Frontiers in Oncology, 2022. Swain, Nirlipta; Samanta, Luna; Goswami, Chandan; Kar, Sujata; Majhi, Rakesh Kumar; Kumar, Sugandh; Dixit, Anshuman, TRPV1 channel in spermatozoa is a molecular target for ROS mediated sperm dysfunction and differentially expressed in both natural and ART pregnancy failure, Frontiers in Cell and Developmental Biology, 2022. Nayak, J.; Jena, SR; Kumar, S.; Kar, S.; Dixit, A.; Samanta, L. Comparative proteome profiling of seminal components reveal impaired immune cell signaling as paternal contributors in recurrent pregnancy loss patients, American Journal of Reproductive Immunology, e13613, doi: 10.1111/aji.13613.2022. Kumar, Anoop; Sahu, Utkarsha; Kumari, Pratima; Dixit, Anshuman; Khare, Prashant; Designing of multi-epitope chimeric vaccine using immunoinformatic platform by targeting oncogenic strain HPV 16 and 18 against cervical cancer, Scientific Reports, 12:9521, 2022. Kumari, Pratima; Debta, Priyanka; Dixit, Anshuman; Oral Potentially Malignant Disorders: Etiology, Pathogenesis, and Transformation Into Oral Cancer. Frontiers in Pharmacology, 13: 825266, 2022. Singh, Deepika; Mohapatra, Priyanka; Kumar, Sugandh; Behera, Somalisa; Dixit, Anshuman; Sahoo, Sanjeeb Kumar; Nimbolide-encapsulated PLGA nanoparticles induces Mesenchymal-to-Epithelial Transition by dual inhibition of AKT and mTOR in pancreatic cancer stem cells, Toxicology in Vitro, 79 105293 5, 2022. Nayak, Jasmine; Jena, Soumya Ranjan; Kumar, Sugandh; Kar, Sujata; Dixit, Anshuman; Samanta, Luna; Association of seminal polyaromatic hydrocarbons exposome with idiopathic male factor infertility: A proteomic insight into sperm function, bioRxiv, 2022. S Khan, R Sinha, S Sarkar, A Dixit, S Routray, Microbial Dysbiosis in Oral Cancer In Microbes and Oral Squamous Cell Carcinoma, 95-106, 2022. S Khan, R Sinha, S Routray, A Dixit, Implications and Future Perspectives In Microbes and Oral Squamous Cell Carcinoma, 163-172, 2022. S Khan, R Sinha, A Dixit, Microbial “OMICS” in Oral Cancer In Microbes and Oral Squamous Cell Carcinoma, 149-161, 2022 2021 Agarwal, Shivangi; Sau, Samaresh; Iyer, Arun K; Dixit, Anshuman; Kashaw, Sushil K; Multiple strategies for the treatment of invasive breast carcinoma: a comprehensive prospective, Drug Discovery Today, 2021. doi:10.1016/j.drudis.2021.10.008 Fatma, Sana; Kumar, Ravindra; Dixit, Anshuman; Swain, Rajeeb K; Expression of two uncharacterized protein coding genes in zebrafish lateral line system, International Journal of Developmental Biology, 2021. Dabas, Preeti; Dhingra, Yukti; Sweta, Kumari; Chakrabarty, Mohima; Singhal, Ritwik; Tyagi, Prasidhi; Behera, Pabitra Mohan; Dixit, Anshuman; Bhattacharjee, Saikat; Sharma, Nimisha; Arabidopsis thaliana possesses two novel ELL Associated Factor (EAF) Homologs, IUBMB Life, 2021. https://doi.org/10.1002/iub.2513 Kumar, Sugandh; Singh, Bharati; Kumari, Pratima; Kumar, Preethy V; Agnihotri, Geetanjali; Khan, Shaheerah; Beuria, Tushar Kant; Syed, Gulam Hussain; Dixit, Anshuman, Identification of multipotent drugs for COVID-19 therapeutics with the evaluation of their SARS-CoV2 inhibitory activity, Computational and Structural Biotechnology Journal, 19, 1998-2017, 2021. Khan, Shaheerah; Jha, Atimukta; Panda, Amaresh C.; Dixit, Anshuman, Cancer-associated circRNA-miRNA-mRNA regulatory networks: A meta-analysis, Frontiers in Molecular Biosciences, 8, 337, 2021. Shriwas, Omprakash; Arya, Rakesh; Mohanty, Sibasish; Mohapatra, Pallavi; Kumar, Sugandh; Rath, Rachna; Kaushik, Sandeep Rai; Pahwa, Falak; Murmu, Krushna Chandra; Majumdar, Saroj Kumar Das; Muduly, Dillip Kumar; Dixit, Anshuman; Prasad, Punit; Nanda, Ranjan K.; Dash, Rupesh, RRBP1 rewires cisplatin resistance in oral squamous cell carcinoma by regulating Hippo pathway. Br J Cancer, 124, 2004–2016, 2021. Routray, Samapika; Kumar, Ravindra; Datta, Keshava K; Puttamallesh, Vinuth N; Chatterjee, Aditi; Gowda, Harsha; Mohanty, Neeta; Dash, Rupesh; Dixit, Anshuman, An integrated approach for identification of a panel of candidate genes arbitrated for invasion and metastasis in oral squamous cell carcinoma, Scientific Reports, 11, 1, 2021. Koochana, Prashanth Kumar; Mohanty, Abhinav; Parida, Akankshika; Behera, Narmada; Behera, Pabitra Mohan; Dixit, Anshuman; Behera, Rabindra K, Flavin-mediated reductive iron mobilization from frog M and Mycobacterial ferritins: impact of their size, charge and reactivities with NADH/O 2, Journal of Biological Inorganic Chemistry, 26, 265-281, 2021. Nayak, A.; Kumar, S.; Singh, S; Bhattacharyya, A.; Dixit, A.; Roychowdhury, A., Oncogenic Potential of ATAD2 in Stomach Cancer and Insights into the Protein-protein Interactions at Its AAA+ATPase Domain and Bromodomain. Journal of Biomolecular Structure and Dynamics, 13, 1-17, 2021. Jena, Soumya R; Nayak, Jasmine; Kumar, Sugandh; Kar, Sujata; Dixit, Anshuman; Samanta, Luna, Paternal contributors in recurrent pregnancy loss: Cues from comparative proteome profiling of seminal extracellular vesicles, Molecular reproduction and development, 88, 1, 96-112, 2021. 2020 Swain, N.; Samanta, L.; Agarwal, A.; Kumar, S.; Dixit, A.; Gopalan, B.; Durairajanayagam, D.; Sharma, R.; Pushparaj, P. N.; Baskaran, S., Aberrant upregulation of compensatory redox molecular machines may contribute to sperm dysfunction in infertile men with unilateral varicocele: A proteomic insight. Antioxidants & Redox Signaling 2020, 32 (8), 504-521. Raghav, S.; Ghosh, A.; Turuk, J.; Kumar, S.; Jha, A.; Madhulika, S.; Priyadarshini, M.; Biswas, V. K.; Shyamli, P. S.; Singh, B., … Dixit A, Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity, Frontiers in Microbiology, 2020, 11, 2847. Mishra, M.; Agarwal, S.; Dixit, A.; Mishra, V. K.; Kashaw, V.; Agrawal, R. K.; Kashaw, S. K., Integrated computational investigation to develop molecular design of quinazoline scaffold as promising inhibitors of plasmodium lactate dehydrogenase. Journal of Molecular Structure 2020, 1207, 127808. Kumar, S.; Patnaik, S.; Dixit, A., Predictive models for stage and risk classification in head and neck squamous cell carcinoma (HNSCC). PeerJ 2020, 8, e9656. Kumar, S.; Kumari, P.; Agnihotri, G.; VijayKumar, P.; Khan, S.; Syed, G. H.; Dixit, A., Identification of Drugs Targeting Multiple Viral and Human Proteins Using Computational Analysis for Repurposing Against COVID-19. ChemRxiv, 2020. Das, D.; Das, A.; Sahu, M.; Mishra, S. S.; Khan, S.; Bejugam, P. R.; Rout, P. K.; Das, A.; Bano, S.; Mishra, G. P., Identification and Characterization of Circular Intronic RNAs Derived from Insulin Gene. International journal of molecular sciences 2020, 21 (12), 4302. Chanwala, J.; Satpati, S.; Dixit, A.; Parida, A.; Giri, M. K.; Dey, N., Genome-wide identification and expression analysis of WRKY transcription factors in pearl millet (Pennisetum glaucum) under dehydration and salinity stress. BMC genomics 2020, 21 (1), 1-16. Agarwal, S.; Naik, S.; Kumari, P.; Mishra, S. K.; Adhya, A. K.; Kashaw, S. K.; Dixit, A., Stagewise identification of significantly mutated gene clusters in major molecular classes of breast invasive carcinoma. bioRxiv 2020. Agarwal, S.; Dixit, A.; Kashaw, S. K., Ligand and structure based virtual screening of chemical databases to explore potent small molecule inhibitors against breast invasive carcinoma using recent computational technologies. Journal of Molecular Graphics and Modelling 2020, 107591. 2019 Satapathy, S.; Behera, P. M.; Tanty, D. K.; Srivastava, S.; Thatoi, H.; Dixit, A.; Sahoo, S. L., Isolation and molecular identification of pectinase producing Aspergillus species from different soil samples of Bhubaneswar regions. bioRxiv 2019, 837112. Koochana, P. K.; Mohanty, A.; Subhadarshanee, B.; Satpati, S.; Naskar, R.; Dixit, A.; Behera, R. K., Phenothiazines and phenoxazines: as electron transfer mediators for ferritin iron release. Dalton transactions 2019, 48 (10), 3314-3326. Gupta, D.; Satpati, S.; Dixit, A.; Ranjan, R., Fabrication of biobeads expressing heavy metal-binding protein for removal of heavy metal from wastewater. Applied microbiology and biotechnology 2019, 103 (13), 5411-5420. Dash, U. C.; Kanhar, S.; Dixit, A.; Dandapat, J.; Sahoo, A. K., Isolation, identification, and quantification of Pentylcurcumene from Geophila repens: A new class of cholinesterase inhibitor for Alzheimer’s disease. Bioorganic chemistry 2019, 88, 102947. 2018 Punganuru, S. R.; Madala, H. R.; Mikelis, C. M.; Dixit, A.; Arutla, V.; Srivenugopal, K. S., Conception, synthesis, and characterization of a rofecoxib-combretastatin hybrid drug with potent cyclooxygenase-2 (COX-2) inhibiting and microtubule disrupting activities in colon cancer cell culture and xenograft models. Oncotarget 2018, 9 (40), 26109. Koochana, P. K.; Mohanty, A.; Das, S.; Subhadarshanee, B.; Satpati, S.; Dixit, A.; Sabat, S. C.; Behera, R. K., Releasing iron from ferritin protein nanocage by reductive method: The role of electron transfer mediator. Biochimica et Biophysica Acta (BBA)-General Subjects 2018, 1862 (5), 1190-1198. 2017 Singh, A.; Raghuwanshi, K.; Patel, V. K.; Jain, D. K.; Veerasamy, R.; Dixit, A.; Rajak, H., Assessment of 5-substituted isatin as surface recognition group: design, synthesis, and antiproliferative evaluation of hydroxamates as novel histone deacetylase inhibitors. Pharmaceutical Chemistry Journal 2017, 51 (5), 366-374. Satpati, S.; Manohar, K.; Acharya, N.; Dixit, A., Comparative molecular dynamics studies of heterozygous open reading frames of DNA polymerase eta (η) in pathogenic yeast Candida albicans. Scientific reports 2017, 7 (1), 1-14. Kumar, R.; Samal, S. K.; Routray, S.; Dash, R.; Dixit, A., Identification of oral cancer related candidate genes by integrating protein-protein interactions, gene ontology, pathway analysis and immunohistochemistry. Scientific reports 2017, 7 (1), 1-18. Behera, D. K.; Behera, P. M.; Acharya, L.; Dixit, A., Development and validation of pharmacophore and QSAR models for influenza PB2 inhibitors. Chemical Biology Letters 2017, 4 (1), 1-8. Behera, D.; Behera, P.; Acharya, L.; Dixit, A., Pharmacophore modelling, virtual screening and molecular docking studies on PLD1 inhibitors. SAR and QSAR in Environmental Research 2017, 28 (12), 991-1009. 2016 Satpati, S.; Behera, P.; Dixit, A., IDENTIFICATION OF LipY INHIBITORS AS ANTITUBERCULAR AGENTS USING STEPWISE VIRTUAL SCREENING. International Journal of Pharmaceutical, Chemical & Biological Sciences 2016, 6 (4). Panda, A.; Satpati, S.; Dixit, A.; Pal, S., Novel homologated-apio adenosine derivatives as A 3 adenosine receptor agonists: design, synthesis and molecular docking studies. RSC advances 2016, 6 (14), 11233-11239. Mishra, P.; Satpati, S.; Baral, S. K.; Dixit, A.; Sabat, S. C., S95C substitution in CuZn-SOD of Ipomoea carnea: impact on the structure, function and stability. Molecular BioSystems 2016, 12 (10), 3017-3031. Jena, J.; Kumar, R.; Saifuddin, M.; Dixit, A.; Das, T., Anoxic–aerobic SBR system for nitrate, phosphate and COD removal from high-strength wastewater and diversity study of microbial communities. Biochemical Engineering Journal 2016, 105, 80-89. 2015 Rajak, H.; Jain, D. K.; Singh, A.; Sharma, A. K.; Dixit, A., Ebola virus disease: past, present and future. Asian Pacific Journal of Tropical Biomedicine 2015, 5 (5), 337-343. Panda, P.; Taviti, A. C.; Satpati, S.; Kar, M. M.; Dixit, A.; Beuria, T. K., Doxorubicin inhibits E. coli division by interacting at a novel site in FtsZ. Biochemical Journal 2015, 471 (3), 335-346. Meher, B. R.; Dixit, A.; Bousfield, G. R.; Lushington, G. H., Glycosylation effects on FSH-FSHR interaction dynamics: a case study of different FSH glycoforms by molecular dynamics simulations. PloS one 2015, 10 (9), e0137897. Kumar, S.; Mamidi, P.; Kumar, A.; Basantray, I.; Bramha, U.; Dixit, A.; Maiti, P. K.; Singh, S.; Suryawanshi, A. R.; Chattopadhyay, S., Development of novel antibodies against non-structural proteins nsP1, nsP3 and nsP4 of chikungunya virus: potential use in basic research. Archives of virology 2015, 160 (11), 2749-2761. Jena, J.; Kumar, R.; Dixit, A.; Pandey, S.; Das, T., Evaluation of simultaneous nutrient and COD removal with polyhydroxybutyrate (PHB) accumulation using mixed microbial consortia under anoxic condition and their bioinformatics analysis. PloS one 2015, 10 (2), e0116230. Behera, P. M.; Behera, D. K.; Satpati, S.; Agnihotri, G.; Nayak, S.; Padhi, P.; Dixit, A., Molecular modeling and identification of novel glucokinase activators through stepwise virtual screening. Journal of Molecular Graphics and Modelling 2015, 57, 122-130. Archana, S.; Geesala, R.; Rao, N. B.; Satpati, S.; Puroshottam, G.; Panasa, A.; Dixit, A.; Das, A.; Srivastava, A. K., Development of constrained tamoxifen mimics and their antiproliferative properties against breast cancer cells. Bioorganic & medicinal chemistry letters 2015, 25 (3), 680-684. 2014 Rajak, H.; Singh, A.; Raghuwanshi, K.; Kumar, R.; Dewangan, P.; Veerasamy, R.; Sharma, P.; Dixit, A.; Mishra, P., A structural insight into hydroxamic acid based histone deacetylase inhibitors for the presence of anticancer activity. Current medicinal chemistry 2014, 21 (23), 2642-2664. Mishra, P.; Dixit, A.; Ray, M.; Sabat, S. C., Mechanistic study of CuZn-SOD from Ipomoea carnea mutated at dimer interface: Enhancement of peroxidase activity upon monomerization. Biochimie 2014, 97, 181-193. Dixit, A.; Verkhivker, G. M., Structure-functional prediction and analysis of cancer mutation effects in protein kinases. Computational and mathematical methods in medicine 2014, 2014. D Sengupta, D. B., A Dixit, BS Sahoo, S Biswas, G Biswas, SK Mishra, ERRβ Signaling Involves FST and BCAS2 for Inhibiting Cellular Proliferation in Breast Cancer Cells. British journal of cancer 2014, 110 (8), 2144-2158. Beesu, M.; Malladi, S. S.; Fox, L. M.; Jones, C. D.; Dixit, A.; David, S. A., Human Toll-like receptor 8-selective agonistic activities in 1-alkyl-1 H-benzimidazol-2-amines. Journal of medicinal chemistry 2014, 57 (17), 7325-7341. 2013 Rajak, H.; Kumar Dewangan, P.; Patel, V.; Kumar Jain, D.; Singh, A.; Veerasamy, R.; Chander Sharma, P.; Dixit, A., Design of combretastatin A-4 analogs as tubulin targeted vascular disrupting agent with special emphasis on their cis-restricted isomers. Current pharmaceutical design 2013, 19 (10), 1923-1955. Kokatla, H. P.; Sil, D.; Malladi, S. S.; Balakrishna, R.; Hermanson, A. R.; Fox, L. M.; Wang, X.; Dixit, A.; David, S. A., Exquisite selectivity for human toll-like receptor 8 in substituted furo [2, 3-c] quinolines. Journal of medicinal chemistry 2013, 56 (17), 6871-6885. Behera, P. M.; Behera, D. K.; Panda, A.; Dixit, A.; Padhi, P., In Silico Expressed Sequence Tag Analysis in Identification of Probable Diabetic Genes as Virtual Therapeutic Targets. BioMed Research International 2013, 2013. 2012 Dixit, A.; Verkhivker, G. M., Integrating ligand-based and protein-centric virtual screening of kinase inhibitors using ensembles of multiple protein kinase genes and conformations. Journal of chemical information and modeling 2012, 52 (10), 2501-2515. Dixit, A.; Verkhivker, G. M., Probing molecular mechanisms of the Hsp90 chaperone: Biophysical modeling identifies key regulators of functional dynamics. PloS one 2012, 7 (5), e37605. Dixit, A.; Verkhivker, G., Probing Molecular Mechanisms of the Hsp90 Chaperone: Biophysical Modeling Identifies Key Regulators of Functional. 2012. Chand, S.; Mehta, N.; Singh Bahia, M.; Dixit, A.; Silakari, O., Protein kinase C-theta inhibitors: a novel therapy for inflammatory disorders. Current pharmaceutical design 2012, 18 (30), 4725-4746. Behera, D. K.; Behera, P. M.; Acharya, L.; Dixit, A.; Padhi, P., In silico biology of H1N1: molecular modelling of novel receptors and docking studies of inhibitors to reveal new insight in flu treatment. Journal of Biomedicine and Biotechnology 2012, 2012. 2011 Matts, R. L.; Dixit, A.; Peterson, L. B.; Sun, L.; Voruganti, S.; Kalyanaraman, P.; Hartson, S. D.; Verkhivker, G. M.; Blagg, B. S., Elucidation of the Hsp90 C-terminal inhibitor binding site. ACS chemical biology 2011, 6 (8), 800-807. Matts, R. L.; Brandt, G. E.; Lu, Y.; Dixit, A.; Mollapour, M.; Wang, S.; Donnelly, A. C.; Neckers, L.; Verkhivker, G.; Blagg, B. S., A systematic protocol for the characterization of Hsp90 modulators. Bioorganic & medicinal chemistry 2011, 19 (1), 684-692. Matts, R.; Dixit, A.; Peterson, L.; Sun, L.; Voruganti, S.; Kalyanaraman, P.; Hartson, S.; Verkhivker, G.; Blagg, B., Elucidation of the Hsp90 C-terminal inhibitor binding site, ACS Chem. , Article ASAP, doi 2011, 10. Hübner, M.; Dixit, A.; Mou, T.-C.; Lushington, G. H.; Pinto, C.; Gille, A.; Geduhn, J.; König, B.; Sprang, S. R.; Seifert, R., Structural basis for the high-affinity inhibition of mammalian membranous adenylyl cyclase by 2′, 3′-o-(N-methylanthraniloyl)-inosine 5′-triphosphate. Molecular pharmacology 2011, 80 (1), 87-96. Dixit, A.; Verkhivker, G. M., The energy landscape analysis of cancer mutations in protein kinases. PloS one 2011, 6 (10), e26071. Dixit, A.; Verkhivker, G. M., Computational modeling of allosteric communication reveals organizing principles of mutation-induced signaling in ABL and EGFR kinases. PLoS computational biology 2011, 7 (10), e1002179. Older: Verkhivker, G. M.; Dixit, A.; Morra, G.; Colombo, G., Structural and computational biology of the molecular chaperone Hsp90: from understanding molecular mechanisms to computer-based inhibitor design. Current topics in medicinal chemistry 2009, 9 (15), 1369-1385. Dixit, A.; Yi, L.; Gowthaman, R.; Torkamani, A.; Schork, N. J.; Verkhivker, G. M., Sequence and structure signatures of cancer mutation hotspots in protein kinases. PloS one 2009, 4 (10), e7485. Dixit, A.; Verkhivker, G. M., Hierarchical modeling of activation mechanisms in the ABL and EGFR kinase domains: thermodynamic and mechanistic catalysts of kinase activation by cancer mutations. PLoS Comput Biol 2009, 5 (8), e1000487. Dixit, A.; Torkamani, A.; Schork, N. J.; Verkhivker, G., Computational modeling of structurally conserved cancer mutations in the RET and MET kinases: the impact on protein structure, dynamics, and stability. Biophysical Journal 2009, 96 (3), 858-874. Saxena, A.; Alam, I.; Dixit, A.; Saxena, M., Internet resources in GPCR modelling. SAR and QSAR in Environmental Research 2008, 19 (1-2), 11-25. Roy, K. K.; Dixit, A.; Saxena, A. K., An investigation of structurally diverse carbamates for acetylcholinesterase (AChE) inhibition using 3D-QSAR analysis. Journal of Molecular Graphics and Modelling 2008, 27 (2), 197-208. Misra, P.; Khaliq, T.; Dixit, A.; SenGupta, S.; Samant, M.; Kumari, S.; Kumar, A.; Kushawaha, P. K.; Majumder, H.; Saxena, A. K., Antileishmanial activity mediated by apoptosis and structure-based target study of peganine hydrochloride dihydrate: an approach for rational drug design. Journal of antimicrobial chemotherapy 2008, 62 (5), 998-1002. Geronikaki, A.; Eleftheriou, P.; Vicini, P.; Alam, I.; Dixit, A.; Saxena, A., 2-Thiazolylimino/heteroarylimino-5-arylidene-4-thiazolidinones as new agents with SHP-2 inhibitory action. Journal of medicinal chemistry 2008, 51 (17), 5221-5228. Dixit, A.; Saxena, A. K., QSAR analysis of PPAR-γ agonists as anti-diabetic agents. European journal of medicinal chemistry 2008, 43 (1), 73-80. Team, N.-B., BioSuite: A comprehensive bioinformatics software package (A unique industry—academia collaboration). Current Science 2007, 29-38. Prathipati, P.; Dixit, A.; Saxena, A. K., Computer-aided drug design: integration of structure-based and ligand-based approaches in drug design. Current Computer-Aided Drug Design 2007, 3 (2), 133-148. Lakshmi, M.; Dixit, A.; Saxena, A. K., QSAR studies on cis-hexa and tetra-hydrophthalazinones: A new class of selective PDE-4 inhibitors. 2006. Rathi, L.; Kashaw, S. K.; Dixit, A.; Pandey, G.; Saxena, A. K., Pharmacophore identification and 3D-QSAR studies in N-(2-benzoyl phenyl)-L-tyrosines as PPARγ agonists. Bioorganic & medicinal chemistry 2004, 12 (1), 63-69. Dixit, A.; Kashaw, S. K.; Gaur, S.; Saxena, A. K., Development of CoMFA, advance CoMFA and CoMSIA models in pyrroloquinazolines as thrombin receptor antagonist. Bioorganic & medicinal chemistry 2004, 12 (13), 3591-3598. Silakari, O.; Dixit, A.; Kohli, D.; Chaturvedi, S., QSAR analysis of 4, 5-diarylpyrroles with cyclooxygenase-2 inhibitory activity. Indian journal of pharmaceutical sciences 2001, 63 (6), 518-521. Book chapter Behera, Pabitra Mohan; Dixit, Anshuman; The story of kinase inhibitors development with special reference to allosteric site, Drug Design: Principles and Applications, 57-68, 2017, Springer, Singapore. International Patent Gaur, Stuti; Fatima, Zeeshan; Dixit, Anshuman; Ali, Zahid; Surin, William Rascan; Kappor, Kapil; Bhutani, Kanta; Ansari, Mohammed Salim; Dikshit, Madhu; Saxena, Anil Kumar; , 2-Alkyl/aryl sulphonyl-1, 2, 3, 4-tetrahydro-9h-pyrido (3, 4-b) indole-3-carboxylic acid esters/amides useful as antithrombotic agents, 2009, US Patent 7,601,838.

Details

2026

Kumar, K., Honda‐Okubo, Y., Das, P. K., Dixit, A., Singh, K. N., Winkler, D. A., … & Salunke, D. B. (2026). Design and Synthesis of New Pyrazolo [1, 5‐c] quinazolin‐5‐amines as Potential TLR7/8 Modulators. ChemMedChem, 21(8), e202501053.
SK Kashaw, A Dixit, S Agarwal, P Nema, Bioinformatics, Computational Chemistry, and AI in Drug Innovation: Advances and Applications, CRC Press, 2026
B Raju, G Narendra, BK Mohanta, A Dixit, Exploration of Novel Chemical Spaces to Discover JAK1 Inhibitors: An Ensemble Docking-Guided Deep Learning Approach, ACS omega 11 (7), 11875-11889, 2026
S Patra, R Patra, PK Das, A Dixit, A Roychowdhury, WGS analysis and functional studies illustrate promising gene-signatures for probiotic attributes and molecular-targeted therapeutic prospects of Lactiplantibacillus plantarum LP-ARP2 , Archives of Microbiology 208 (2), 125, 2026

2025

Pooja Archana Sahani, Ritwik Patra, Anshuman Dixit, G protein-coupled receptors (GPCRs) in cancer prognosis and therapeutics: A comprehensive review, International Journal of Biological Macromolecules, 147665, 2025.

2024

Agarwal, S., Parija, M., Naik, S., Kumari, P., Mishra, S. K., Adhya, A. K., Kashaw, S. K., Dixit, A. Dysregulated gene subnetworks in breast invasive carcinoma reveal novel tumor suppressor genes, Scientific Reports, 2024 (Just accepted)

2023

Mohanty, S., Mishra, B.K., Dasgupta, M., Acharya, G., Singh, S., Naresh, P., Bhue, S., Dixit, A., Sarkar, A., Sahoo, M.R. Deciphering phenotyping, DNA barcoding, and RNA secondary structure predictions in eggplant wild relatives provide insights for their future breeding strategies. Scientific Reports, 13, 13829, 2023.
Abhishek, Kondyarpu; Mohanta, Bineet Kumar; Kumari, Pratima; Dixit, Anshuman; Puppala, Venkat Ramchander; GeMemiOM—the first curated database on Genes, putative Methylation study targets, and microRNA targets for Otitis Media, Journal of Genetics and Genomics, 1673-8527(23)00162-5, 2023.
Nagaraj, Viswanathan Arun; Ghosh, Sourav; Kundu, Rajib; Chandana, Manjunatha; Das, Rahul; Anand, Aditya; Beura, Subhashree; Bobde, Ruchir; Jain, Vishal; Prabhu, Sowmya; Behera, Prativa; Mohanty, Akshaya; Mahabala, Chakrapani; Satyamoorthy, Kapaettu; Suryawanshi, Amol; Dixit, Anshuman; Padmanaban, Govindarajan, “Distinct Evolution of Type I Glutamine Synthetase in Plasmodium and its Species-specific Requirement” Nature Communications, 14, 4216, 2023.
Nayak, J.; Jena, Soumya Ranjan; Kumar, Sugandh; Kar, Sujata; Dixit, Anshuman; Samanta, Luna, Human sperm proteome reveals the effect of environmental borne seminal polyaromatic hydrocarbons exposome in etiology of idiopathic male factor infertility, Frontiers in Cell and Developmental Biology-Molecular and Cellular Pathology. Just Published, 2023.

2022

Kumari, Pratima; Kumar, Sugandh; Sethy, Madhusmita; Bhue, Shyamlal; Mohanta, Bineet Kumar; Dixit, Anshuman, Identification of Therapeutically Potential Targets and their Ligands for the Treatment of OSCC, Frontiers in Oncology, 2022.
Swain, Nirlipta; Samanta, Luna; Goswami, Chandan; Kar, Sujata; Majhi, Rakesh Kumar; Kumar, Sugandh; Dixit, Anshuman, TRPV1 channel in spermatozoa is a molecular target for ROS mediated sperm dysfunction and differentially expressed in both natural and ART pregnancy failure, Frontiers in Cell and Developmental Biology, 2022.
Nayak, J.; Jena, SR; Kumar, S.; Kar, S.; Dixit, A.; Samanta, L. Comparative proteome profiling of seminal components reveal impaired immune cell signaling as paternal contributors in recurrent pregnancy loss patients, American Journal of Reproductive Immunology, e13613, doi: 10.1111/aji.13613.2022.
Kumar, Anoop; Sahu, Utkarsha; Kumari, Pratima; Dixit, Anshuman; Khare, Prashant; Designing of multi-epitope chimeric vaccine using immunoinformatic platform by targeting oncogenic strain HPV 16 and 18 against cervical cancer, Scientific Reports, 12:9521, 2022.
Kumari, Pratima; Debta, Priyanka; Dixit, Anshuman; Oral Potentially Malignant Disorders: Etiology, Pathogenesis, and Transformation Into Oral Cancer. Frontiers in Pharmacology, 13: 825266, 2022.
Singh, Deepika; Mohapatra, Priyanka; Kumar, Sugandh; Behera, Somalisa; Dixit, Anshuman; Sahoo, Sanjeeb Kumar; Nimbolide-encapsulated PLGA nanoparticles induces Mesenchymal-to-Epithelial Transition by dual inhibition of AKT and mTOR in pancreatic cancer stem cells, Toxicology in Vitro, 79 105293 5, 2022.
Nayak, Jasmine; Jena, Soumya Ranjan; Kumar, Sugandh; Kar, Sujata; Dixit, Anshuman; Samanta, Luna; Association of seminal polyaromatic hydrocarbons exposome with idiopathic male factor infertility: A proteomic insight into sperm function, bioRxiv, 2022.
S Khan, R Sinha, S Sarkar, A Dixit, S Routray, Microbial Dysbiosis in Oral Cancer In Microbes and Oral Squamous Cell Carcinoma, 95-106, 2022.
S Khan, R Sinha, S Routray, A Dixit, Implications and Future Perspectives In Microbes and Oral Squamous Cell Carcinoma, 163-172, 2022.
S Khan, R Sinha, A Dixit, Microbial “OMICS” in Oral Cancer In Microbes and Oral Squamous Cell Carcinoma, 149-161, 2022

2021

Agarwal, Shivangi; Sau, Samaresh; Iyer, Arun K; Dixit, Anshuman; Kashaw, Sushil K; Multiple strategies for the treatment of invasive breast carcinoma: a comprehensive prospective, Drug Discovery Today, 2021. doi:10.1016/j.drudis.2021.10.008
Fatma, Sana; Kumar, Ravindra; Dixit, Anshuman; Swain, Rajeeb K; Expression of two uncharacterized protein coding genes in zebrafish lateral line system, International Journal of Developmental Biology, 2021.
Dabas, Preeti; Dhingra, Yukti; Sweta, Kumari; Chakrabarty, Mohima; Singhal, Ritwik; Tyagi, Prasidhi; Behera, Pabitra Mohan; Dixit, Anshuman; Bhattacharjee, Saikat; Sharma, Nimisha; Arabidopsis thaliana possesses two novel ELL Associated Factor (EAF) Homologs, IUBMB Life, 2021. https://doi.org/10.1002/iub.2513
Kumar, Sugandh; Singh, Bharati; Kumari, Pratima; Kumar, Preethy V; Agnihotri, Geetanjali; Khan, Shaheerah; Beuria, Tushar Kant; Syed, Gulam Hussain; Dixit, Anshuman, Identification of multipotent drugs for COVID-19 therapeutics with the evaluation of their SARS-CoV2 inhibitory activity, Computational and Structural Biotechnology Journal, 19, 1998-2017, 2021.
Khan, Shaheerah; Jha, Atimukta; Panda, Amaresh C.; Dixit, Anshuman, Cancer-associated circRNA-miRNA-mRNA regulatory networks: A meta-analysis, Frontiers in Molecular Biosciences, 8, 337, 2021.
Shriwas, Omprakash; Arya, Rakesh; Mohanty, Sibasish; Mohapatra, Pallavi; Kumar, Sugandh; Rath, Rachna; Kaushik, Sandeep Rai; Pahwa, Falak; Murmu, Krushna Chandra; Majumdar, Saroj Kumar Das; Muduly, Dillip Kumar; Dixit, Anshuman; Prasad, Punit; Nanda, Ranjan K.; Dash, Rupesh, RRBP1 rewires cisplatin resistance in oral squamous cell carcinoma by regulating Hippo pathway. Br J Cancer, 124, 2004–2016, 2021.
Routray, Samapika; Kumar, Ravindra; Datta, Keshava K; Puttamallesh, Vinuth N; Chatterjee, Aditi; Gowda, Harsha; Mohanty, Neeta; Dash, Rupesh; Dixit, Anshuman, An integrated approach for identification of a panel of candidate genes arbitrated for invasion and metastasis in oral squamous cell carcinoma, Scientific Reports, 11, 1, 2021.
Koochana, Prashanth Kumar; Mohanty, Abhinav; Parida, Akankshika; Behera, Narmada; Behera, Pabitra Mohan; Dixit, Anshuman; Behera, Rabindra K, Flavin-mediated reductive iron mobilization from frog M and Mycobacterial ferritins: impact of their size, charge and reactivities with NADH/O 2, Journal of Biological Inorganic Chemistry, 26, 265-281, 2021.
Nayak, A.; Kumar, S.; Singh, S; Bhattacharyya, A.; Dixit, A.; Roychowdhury, A., Oncogenic Potential of ATAD2 in Stomach Cancer and Insights into the Protein-protein Interactions at Its AAA+ATPase Domain and Bromodomain. Journal of Biomolecular Structure and Dynamics, 13, 1-17, 2021.
Jena, Soumya R; Nayak, Jasmine; Kumar, Sugandh; Kar, Sujata; Dixit, Anshuman; Samanta, Luna, Paternal contributors in recurrent pregnancy loss: Cues from comparative proteome profiling of seminal extracellular vesicles, Molecular reproduction and development, 88, 1, 96-112, 2021.

2020

Swain, N.; Samanta, L.; Agarwal, A.; Kumar, S.; Dixit, A.; Gopalan, B.; Durairajanayagam, D.; Sharma, R.; Pushparaj, P. N.; Baskaran, S., Aberrant upregulation of compensatory redox molecular machines may contribute to sperm dysfunction in infertile men with unilateral varicocele: A proteomic insight. Antioxidants & Redox Signaling 2020, 32 (8), 504-521.
Raghav, S.; Ghosh, A.; Turuk, J.; Kumar, S.; Jha, A.; Madhulika, S.; Priyadarshini, M.; Biswas, V. K.; Shyamli, P. S.; Singh, B., … Dixit A, Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity, Frontiers in Microbiology, 2020, 11, 2847.
Mishra, M.; Agarwal, S.; Dixit, A.; Mishra, V. K.; Kashaw, V.; Agrawal, R. K.; Kashaw, S. K., Integrated computational investigation to develop molecular design of quinazoline scaffold as promising inhibitors of plasmodium lactate dehydrogenase. Journal of Molecular Structure 2020, 1207, 127808.
Kumar, S.; Patnaik, S.; Dixit, A., Predictive models for stage and risk classification in head and neck squamous cell carcinoma (HNSCC). PeerJ 2020, 8, e9656.
Kumar, S.; Kumari, P.; Agnihotri, G.; VijayKumar, P.; Khan, S.; Syed, G. H.; Dixit, A., Identification of Drugs Targeting Multiple Viral and Human Proteins Using Computational Analysis for Repurposing Against COVID-19. ChemRxiv, 2020.
Das, D.; Das, A.; Sahu, M.; Mishra, S. S.; Khan, S.; Bejugam, P. R.; Rout, P. K.; Das, A.; Bano, S.; Mishra, G. P., Identification and Characterization of Circular Intronic RNAs Derived from Insulin Gene. International journal of molecular sciences 2020, 21 (12), 4302.
Chanwala, J.; Satpati, S.; Dixit, A.; Parida, A.; Giri, M. K.; Dey, N., Genome-wide identification and expression analysis of WRKY transcription factors in pearl millet (Pennisetum glaucum) under dehydration and salinity stress. BMC genomics 2020, 21 (1), 1-16.
Agarwal, S.; Naik, S.; Kumari, P.; Mishra, S. K.; Adhya, A. K.; Kashaw, S. K.; Dixit, A., Stagewise identification of significantly mutated gene clusters in major molecular classes of breast invasive carcinoma. bioRxiv 2020.
Agarwal, S.; Dixit, A.; Kashaw, S. K., Ligand and structure based virtual screening of chemical databases to explore potent small molecule inhibitors against breast invasive carcinoma using recent computational technologies. Journal of Molecular Graphics and Modelling 2020, 107591.

2019

Satapathy, S.; Behera, P. M.; Tanty, D. K.; Srivastava, S.; Thatoi, H.; Dixit, A.; Sahoo, S. L., Isolation and molecular identification of pectinase producing Aspergillus species from different soil samples of Bhubaneswar regions. bioRxiv 2019, 837112.
Koochana, P. K.; Mohanty, A.; Subhadarshanee, B.; Satpati, S.; Naskar, R.; Dixit, A.; Behera, R. K., Phenothiazines and phenoxazines: as electron transfer mediators for ferritin iron release. Dalton transactions 2019, 48 (10), 3314-3326.
Gupta, D.; Satpati, S.; Dixit, A.; Ranjan, R., Fabrication of biobeads expressing heavy metal-binding protein for removal of heavy metal from wastewater. Applied microbiology and biotechnology 2019, 103 (13), 5411-5420.
Dash, U. C.; Kanhar, S.; Dixit, A.; Dandapat, J.; Sahoo, A. K., Isolation, identification, and quantification of Pentylcurcumene from Geophila repens: A new class of cholinesterase inhibitor for Alzheimer’s disease. Bioorganic chemistry 2019, 88, 102947.

2018

Punganuru, S. R.; Madala, H. R.; Mikelis, C. M.; Dixit, A.; Arutla, V.; Srivenugopal, K. S., Conception, synthesis, and characterization of a rofecoxib-combretastatin hybrid drug with potent cyclooxygenase-2 (COX-2) inhibiting and microtubule disrupting activities in colon cancer cell culture and xenograft models. Oncotarget 2018, 9 (40), 26109.
Koochana, P. K.; Mohanty, A.; Das, S.; Subhadarshanee, B.; Satpati, S.; Dixit, A.; Sabat, S. C.; Behera, R. K., Releasing iron from ferritin protein nanocage by reductive method: The role of electron transfer mediator. Biochimica et Biophysica Acta (BBA)-General Subjects 2018, 1862 (5), 1190-1198.

2017

Singh, A.; Raghuwanshi, K.; Patel, V. K.; Jain, D. K.; Veerasamy, R.; Dixit, A.; Rajak, H., Assessment of 5-substituted isatin as surface recognition group: design, synthesis, and antiproliferative evaluation of hydroxamates as novel histone deacetylase inhibitors. Pharmaceutical Chemistry Journal 2017, 51 (5), 366-374.
Satpati, S.; Manohar, K.; Acharya, N.; Dixit, A., Comparative molecular dynamics studies of heterozygous open reading frames of DNA polymerase eta (η) in pathogenic yeast Candida albicans. Scientific reports 2017, 7 (1), 1-14.
Kumar, R.; Samal, S. K.; Routray, S.; Dash, R.; Dixit, A., Identification of oral cancer related candidate genes by integrating protein-protein interactions, gene ontology, pathway analysis and immunohistochemistry. Scientific reports 2017, 7 (1), 1-18.
Behera, D. K.; Behera, P. M.; Acharya, L.; Dixit, A., Development and validation of pharmacophore and QSAR models for influenza PB2 inhibitors. Chemical Biology Letters 2017, 4 (1), 1-8.
Behera, D.; Behera, P.; Acharya, L.; Dixit, A., Pharmacophore modelling, virtual screening and molecular docking studies on PLD1 inhibitors. SAR and QSAR in Environmental Research 2017, 28 (12), 991-1009.

2016

Satpati, S.; Behera, P.; Dixit, A., IDENTIFICATION OF LipY INHIBITORS AS ANTITUBERCULAR AGENTS USING STEPWISE VIRTUAL SCREENING. International Journal of Pharmaceutical, Chemical & Biological Sciences 2016, 6 (4).
Panda, A.; Satpati, S.; Dixit, A.; Pal, S., Novel homologated-apio adenosine derivatives as A 3 adenosine receptor agonists: design, synthesis and molecular docking studies. RSC advances 2016, 6 (14), 11233-11239.
Mishra, P.; Satpati, S.; Baral, S. K.; Dixit, A.; Sabat, S. C., S95C substitution in CuZn-SOD of Ipomoea carnea: impact on the structure, function and stability. Molecular BioSystems 2016, 12 (10), 3017-3031.
Jena, J.; Kumar, R.; Saifuddin, M.; Dixit, A.; Das, T., Anoxic–aerobic SBR system for nitrate, phosphate and COD removal from high-strength wastewater and diversity study of microbial communities. Biochemical Engineering Journal 2016, 105, 80-89.

2015

Rajak, H.; Jain, D. K.; Singh, A.; Sharma, A. K.; Dixit, A., Ebola virus disease: past, present and future. Asian Pacific Journal of Tropical Biomedicine 2015, 5 (5), 337-343.
Panda, P.; Taviti, A. C.; Satpati, S.; Kar, M. M.; Dixit, A.; Beuria, T. K., Doxorubicin inhibits E. coli division by interacting at a novel site in FtsZ. Biochemical Journal 2015, 471 (3), 335-346.
Meher, B. R.; Dixit, A.; Bousfield, G. R.; Lushington, G. H., Glycosylation effects on FSH-FSHR interaction dynamics: a case study of different FSH glycoforms by molecular dynamics simulations. PloS one 2015, 10 (9), e0137897.
Kumar, S.; Mamidi, P.; Kumar, A.; Basantray, I.; Bramha, U.; Dixit, A.; Maiti, P. K.; Singh, S.; Suryawanshi, A. R.; Chattopadhyay, S., Development of novel antibodies against non-structural proteins nsP1, nsP3 and nsP4 of chikungunya virus: potential use in basic research. Archives of virology 2015, 160 (11), 2749-2761.
Jena, J.; Kumar, R.; Dixit, A.; Pandey, S.; Das, T., Evaluation of simultaneous nutrient and COD removal with polyhydroxybutyrate (PHB) accumulation using mixed microbial consortia under anoxic condition and their bioinformatics analysis. PloS one 2015, 10 (2), e0116230.
Behera, P. M.; Behera, D. K.; Satpati, S.; Agnihotri, G.; Nayak, S.; Padhi, P.; Dixit, A., Molecular modeling and identification of novel glucokinase activators through stepwise virtual screening. Journal of Molecular Graphics and Modelling 2015, 57, 122-130.
Archana, S.; Geesala, R.; Rao, N. B.; Satpati, S.; Puroshottam, G.; Panasa, A.; Dixit, A.; Das, A.; Srivastava, A. K., Development of constrained tamoxifen mimics and their antiproliferative properties against breast cancer cells. Bioorganic & medicinal chemistry letters 2015, 25 (3), 680-684.

2014

Rajak, H.; Singh, A.; Raghuwanshi, K.; Kumar, R.; Dewangan, P.; Veerasamy, R.; Sharma, P.; Dixit, A.; Mishra, P., A structural insight into hydroxamic acid based histone deacetylase inhibitors for the presence of anticancer activity. Current medicinal chemistry 2014, 21 (23), 2642-2664.
Mishra, P.; Dixit, A.; Ray, M.; Sabat, S. C., Mechanistic study of CuZn-SOD from Ipomoea carnea mutated at dimer interface: Enhancement of peroxidase activity upon monomerization. Biochimie 2014, 97, 181-193.
Dixit, A.; Verkhivker, G. M., Structure-functional prediction and analysis of cancer mutation effects in protein kinases. Computational and mathematical methods in medicine 2014, 2014.
D Sengupta, D. B., A Dixit, BS Sahoo, S Biswas, G Biswas, SK Mishra, ERRβ Signaling Involves FST and BCAS2 for Inhibiting Cellular Proliferation in Breast Cancer Cells. British journal of cancer 2014, 110 (8), 2144-2158.
Beesu, M.; Malladi, S. S.; Fox, L. M.; Jones, C. D.; Dixit, A.; David, S. A., Human Toll-like receptor 8-selective agonistic activities in 1-alkyl-1 H-benzimidazol-2-amines. Journal of medicinal chemistry 2014, 57 (17), 7325-7341.

2013

Rajak, H.; Kumar Dewangan, P.; Patel, V.; Kumar Jain, D.; Singh, A.; Veerasamy, R.; Chander Sharma, P.; Dixit, A., Design of combretastatin A-4 analogs as tubulin targeted vascular disrupting agent with special emphasis on their cis-restricted isomers. Current pharmaceutical design 2013, 19 (10), 1923-1955.
Kokatla, H. P.; Sil, D.; Malladi, S. S.; Balakrishna, R.; Hermanson, A. R.; Fox, L. M.; Wang, X.; Dixit, A.; David, S. A., Exquisite selectivity for human toll-like receptor 8 in substituted furo [2, 3-c] quinolines. Journal of medicinal chemistry 2013, 56 (17), 6871-6885.
Behera, P. M.; Behera, D. K.; Panda, A.; Dixit, A.; Padhi, P., In Silico Expressed Sequence Tag Analysis in Identification of Probable Diabetic Genes as Virtual Therapeutic Targets. BioMed Research International 2013, 2013.

2012

Dixit, A.; Verkhivker, G. M., Integrating ligand-based and protein-centric virtual screening of kinase inhibitors using ensembles of multiple protein kinase genes and conformations. Journal of chemical information and modeling 2012, 52 (10), 2501-2515.
Dixit, A.; Verkhivker, G. M., Probing molecular mechanisms of the Hsp90 chaperone: Biophysical modeling identifies key regulators of functional dynamics. PloS one 2012, 7 (5), e37605.
Dixit, A.; Verkhivker, G., Probing Molecular Mechanisms of the Hsp90 Chaperone: Biophysical Modeling Identifies Key Regulators of Functional. 2012.
Chand, S.; Mehta, N.; Singh Bahia, M.; Dixit, A.; Silakari, O., Protein kinase C-theta inhibitors: a novel therapy for inflammatory disorders. Current pharmaceutical design 2012, 18 (30), 4725-4746.
Behera, D. K.; Behera, P. M.; Acharya, L.; Dixit, A.; Padhi, P., In silico biology of H1N1: molecular modelling of novel receptors and docking studies of inhibitors to reveal new insight in flu treatment. Journal of Biomedicine and Biotechnology 2012, 2012.

2011

Matts, R. L.; Dixit, A.; Peterson, L. B.; Sun, L.; Voruganti, S.; Kalyanaraman, P.; Hartson, S. D.; Verkhivker, G. M.; Blagg, B. S., Elucidation of the Hsp90 C-terminal inhibitor binding site. ACS chemical biology 2011, 6 (8), 800-807.
Matts, R. L.; Brandt, G. E.; Lu, Y.; Dixit, A.; Mollapour, M.; Wang, S.; Donnelly, A. C.; Neckers, L.; Verkhivker, G.; Blagg, B. S., A systematic protocol for the characterization of Hsp90 modulators. Bioorganic & medicinal chemistry 2011, 19 (1), 684-692.
Matts, R.; Dixit, A.; Peterson, L.; Sun, L.; Voruganti, S.; Kalyanaraman, P.; Hartson, S.; Verkhivker, G.; Blagg, B., Elucidation of the Hsp90 C-terminal inhibitor binding site, ACS Chem. , Article ASAP, doi 2011, 10.
Hübner, M.; Dixit, A.; Mou, T.-C.; Lushington, G. H.; Pinto, C.; Gille, A.; Geduhn, J.; König, B.; Sprang, S. R.; Seifert, R., Structural basis for the high-affinity inhibition of mammalian membranous adenylyl cyclase by 2′, 3′-o-(N-methylanthraniloyl)-inosine 5′-triphosphate. Molecular pharmacology 2011, 80 (1), 87-96.
Dixit, A.; Verkhivker, G. M., The energy landscape analysis of cancer mutations in protein kinases. PloS one 2011, 6 (10), e26071.
Dixit, A.; Verkhivker, G. M., Computational modeling of allosteric communication reveals organizing principles of mutation-induced signaling in ABL and EGFR kinases. PLoS computational biology 2011, 7 (10), e1002179.

Older:

Verkhivker, G. M.; Dixit, A.; Morra, G.; Colombo, G., Structural and computational biology of the molecular chaperone Hsp90: from understanding molecular mechanisms to computer-based inhibitor design. Current topics in medicinal chemistry 2009, 9 (15), 1369-1385.
Dixit, A.; Yi, L.; Gowthaman, R.; Torkamani, A.; Schork, N. J.; Verkhivker, G. M., Sequence and structure signatures of cancer mutation hotspots in protein kinases. PloS one 2009, 4 (10), e7485.
Dixit, A.; Verkhivker, G. M., Hierarchical modeling of activation mechanisms in the ABL and EGFR kinase domains: thermodynamic and mechanistic catalysts of kinase activation by cancer mutations. PLoS Comput Biol 2009, 5 (8), e1000487.
Dixit, A.; Torkamani, A.; Schork, N. J.; Verkhivker, G., Computational modeling of structurally conserved cancer mutations in the RET and MET kinases: the impact on protein structure, dynamics, and stability. Biophysical Journal 2009, 96 (3), 858-874.
Saxena, A.; Alam, I.; Dixit, A.; Saxena, M., Internet resources in GPCR modelling. SAR and QSAR in Environmental Research 2008, 19 (1-2), 11-25.
Roy, K. K.; Dixit, A.; Saxena, A. K., An investigation of structurally diverse carbamates for acetylcholinesterase (AChE) inhibition using 3D-QSAR analysis. Journal of Molecular Graphics and Modelling 2008, 27 (2), 197-208.
Misra, P.; Khaliq, T.; Dixit, A.; SenGupta, S.; Samant, M.; Kumari, S.; Kumar, A.; Kushawaha, P. K.; Majumder, H.; Saxena, A. K., Antileishmanial activity mediated by apoptosis and structure-based target study of peganine hydrochloride dihydrate: an approach for rational drug design. Journal of antimicrobial chemotherapy 2008, 62 (5), 998-1002.
Geronikaki, A.; Eleftheriou, P.; Vicini, P.; Alam, I.; Dixit, A.; Saxena, A., 2-Thiazolylimino/heteroarylimino-5-arylidene-4-thiazolidinones as new agents with SHP-2 inhibitory action. Journal of medicinal chemistry 2008, 51 (17), 5221-5228.
Dixit, A.; Saxena, A. K., QSAR analysis of PPAR-γ agonists as anti-diabetic agents. European journal of medicinal chemistry 2008, 43 (1), 73-80.
Team, N.-B., BioSuite: A comprehensive bioinformatics software package (A unique industry—academia collaboration). Current Science 2007, 29-38.
Prathipati, P.; Dixit, A.; Saxena, A. K., Computer-aided drug design: integration of structure-based and ligand-based approaches in drug design. Current Computer-Aided Drug Design 2007, 3 (2), 133-148.
Lakshmi, M.; Dixit, A.; Saxena, A. K., QSAR studies on cis-hexa and tetra-hydrophthalazinones: A new class of selective PDE-4 inhibitors. 2006.
Rathi, L.; Kashaw, S. K.; Dixit, A.; Pandey, G.; Saxena, A. K., Pharmacophore identification and 3D-QSAR studies in N-(2-benzoyl phenyl)-L-tyrosines as PPARγ agonists. Bioorganic & medicinal chemistry 2004, 12 (1), 63-69.
Dixit, A.; Kashaw, S. K.; Gaur, S.; Saxena, A. K., Development of CoMFA, advance CoMFA and CoMSIA models in pyrroloquinazolines as thrombin receptor antagonist. Bioorganic & medicinal chemistry 2004, 12 (13), 3591-3598.
Silakari, O.; Dixit, A.; Kohli, D.; Chaturvedi, S., QSAR analysis of 4, 5-diarylpyrroles with cyclooxygenase-2 inhibitory activity. Indian journal of pharmaceutical sciences 2001, 63 (6), 518-521.

Book chapter

Behera, Pabitra Mohan; Dixit, Anshuman; The story of kinase inhibitors development with special reference to allosteric site, Drug Design: Principles and Applications, 57-68, 2017, Springer, Singapore.

International Patent

Gaur, Stuti; Fatima, Zeeshan; Dixit, Anshuman; Ali, Zahid; Surin, William Rascan; Kappor, Kapil; Bhutani, Kanta; Ansari, Mohammed Salim; Dikshit, Madhu; Saxena, Anil Kumar; , 2-Alkyl/aryl sulphonyl-1, 2, 3, 4-tetrahydro-9h-pyrido (3, 4-b) indole-3-carboxylic acid esters/amides useful as antithrombotic agents, 2009, US Patent 7,601,838.

Group

Details

Post-Doctoral Fellows

	Dr. Gera Narendra (Project Scientist-II) Email: narendra@ils.res.in Research Area: From Ocean to Oncology: AI-Driven Discovery of Marine-Derived Therapeutics Expertise: AI/ML Driven Drug Discovery, Molecular Modeling, Bioinformatics
	Dr. Ritwik Patra (Project Scientist-I) Email: ritwikpatra@ils.res.in Research Area: Chemoinformatics and Drug Discovery Expertise: Chemoinformatics, Network Pharmacology, Molecular Docking and Simulation, AI/ML guided Drug Designing, Multi-omics, Experimental Biology
	Dr. Rashmi Rekha Samal (Project Scientist-I) Email: rashmi@ils.res.in Research Area: Genomics and Structural biology Expertise: Biophysical Studies, WGS & Metagenomics Analysis, Snakemake Workflow Automation, Structural Bioinformatics & Molecular Docking, Multi-omics
	Dr. Deeptimayee Rout (SRF) Email: deeptirout@ils.res.in Research area: Identification and characterization of natural compounds as key regulators of cellular pathways as JAK/STAT to improve HNSCC treatment outcomes. Expertise: HNSCC, Natural Compounds, JAK/STAT inhibitor

Research Scholars

	Bineet Kumar Mohanta (CSIR-SRF) Email: bineet@ils.res.in, mail@bineet.dev Research Area: AI-driven Predictive Modeling for Combinatorial Drug Discovery
	Dr. Suvam Thakura (ICMR-NCS) Email: suvam@ils.res.in Research Area: Repurposing of polyphenol compounds against Oral Submucous Fibrosis.
	Pradeep Kumar Das (CSIR-JRF) Email: pradeep@ils.res.in Research Area: AI/ML guided development of targeted therapeutics against GPCR.
	Tundup Namgail (CSIR-JRF, i3c BRIC-RCB Ph.D. Programme) Email: tundup@ils.res.in Research Area: Understanding how metabolic diseases reshape immune responses and infectious disease outcomes using single-cell transcriptomics, multi-omics, and computational modeling.
	Sushrut Vivek Bhave (ICMR-JRF) Email: sushrut@ils.res.in Research Area: Multi-omics guided targeted therapeutics against oral cancer.

Project Fellows

Tapas Kumar Das (Computer Programmer)

Email: tapas@ils.res.in

Research Area: Computational Biology & Bioinformatics emphasizing scientific data processing, analysis and software development

Rory Mishra (PA-1)

Email: rory@ils.res.in

Research Area: Computational protein engineering and metagenomic-driven enzyme optimization for industrial applications.

Bibhu Prasad Behera (PA-1)

Email: bibhu.prasad@ils.res.in

Research Area: Machine learning, Bioinformatics, Multimodal (text & image) model, Full stack development, NGS.

Lab Technician

Biplab Kumar Palai

Email: biplab@ils.res.in

Research Area: Extraction of Marine Microbial Metabolites and characterization

Alumni


Dr. B Raju Reddy	Ms. Pooja Archana Sahani	Mr. Shyamlal Bhue
2024-2026 (Currently working as AI-Lead at Pattern Agentix)	2021-2025 (Developed therapeutics against orphan GPCRs)	2021-2024 (Currently Lecturer at Banki Autonomous College, Cuttack)

Ms. Madhusmita Sethy	Dr. Pratima Kumari	Dr. Shaheerah Khan
2022-2024 (Currently pursuing Ph.D. in IIT, Hyderabad)	2019-2024 (Currently Post Doctoral fellow at University of Michigan, USA)	2018-2023 (Currently Post Doctoral Fellow at Houston Methodist, Texas, USA)

Dr. S. Suresh	Dr. Ravindra Kumar	Dr. Sugandh Kumar
2012-2017 (Currently Research Scientist, MD Anderson Cancer Center, Houston, USA)	2013-2018 (Currently Assistant Professor, National Institute of Technology, Calicut)	2016-2021 (Currently Postdoctoral Research Associate, University of California San Francisco (UCSF), USA)

Dr. Shivangi Agarwal	Dr. Vishal Jain	Dr. Pabitra Mohan Behera
Currently working as Senior Bioinformatics Scientist at ACS International India Pvt. Ltd. – Representing CAS.	Currently working as Solutions Architect at Schrodinger Inc.	Currently Postdoctoral fellow, Ravenshaw University, Odisha)

Short-term fellow/ Interns/ Trainee

Current

Priyanshu Nema, Internship (2025-2026), Dr. Harisingh Gour University (A Central University), MP
Manognya Patnaik, Internship (May-June 2026), KIIT, Odisha
Deepali Dash, Dissertation (Jan- June 2026), VIT, Vellore

Former

Bhadrachalam Pallavi. Internship (Dec-Jan 2026), IIT-Roorkee
Sabnam Das, Internship (Dec-Jan 2026), IIT-Roorkee
Chinmayee Panda, Internship (2024-2025), BJB Autonomous College, Bhubaneswar
Anwesha Mahapatra, Internship (2024-2025), BJB Autonomous College, Bhubaneswar

Grants

Details

DETAILS OF CURRENT GRANTS

Sl.	Funding Agency	Title of the Project	Duration	PI/Co-PI	Amount
1	Department of Biotechnology (DBT)	Advanced bioinformatics centre for research in tribal health and regional well being	2024-2027	PI	78 lakhs
2	Ministry of Earth Science (MoES)	Exploring the Marine Ecosystems for Novel Bioresources with Human Health and Industrial Significance.	2024-2026	Co-PI	84 Crore
3	DST-Odisha	Establishment of OMBRIC-ILS Centre of Excellence in Marine Biotechnology for promoting research on bioprospecting of marine biota	2025-2030	Co-PI	5.6 Crore
4	DST-SERB	Exploring the protein-coding functions of circular RNAs in skeletal muscle cell differentiation	2023-2026	Co-PI	50 lakhs

Contacts

Email	Address	Fax	Office
anshuman@ils.res.in	Nalco Square, Bhubaneswar-751023, India	0091 674 2300728	0091 674 2300137/ 2301476 ext. 281

Highlights

Positions

Details
We are looking for bright, motivated researchers for our ongoing research in the computational biology of cancer. Candidates having good programming skills, an interest in machine learning and big data analysis are encouraged to apply for positions advertised on the ILS website. Candidates whose research interests are in the above fields and who want to apply for postdoctoral fellowships (e.g. NPDF) are encouraged to contact.

Details

We are looking for bright, motivated researchers for our ongoing research in the computational biology of cancer. Candidates having good programming skills, an interest in machine learning and big data analysis are encouraged to apply for positions advertised on the ILS website.

Candidates whose research interests are in the above fields and who want to apply for postdoctoral fellowships (e.g. NPDF) are encouraged to contact.

Important Links