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Dr. Rik Ganguly

Dr. Rik Ganguly

postdoc

Fellowship: ICMR, New Delhi

Biography

Postdoctoral Fellow in the Department of Biosciences and Bioengineering at IIT Roorkee

Dr. Rik Ganguly is a computational biologist specializing at the interface of Structural Bioinformatics, Computational Biology, and Artificial Intelligence. He is currently a Postdoctoral Fellow in the Department of Biosciences and Bioengineering at IIT Roorkee, where his research focuses on developing next-generation therapeutic and computational strategies through the analysis of complex protein structure–function relationships. His work integrates molecular modelling, AI-driven bioinformatics, structural biology, antimicrobial resistance research, and computational drug discovery.

Academic Background

2026–Present : Postdoctoral Fellow, Department of Biosciences and Bioengineering (BSBE), Indian Institute of Technology (IIT) Roorkee, India.

2025–2026 : Junior Engineer (Computational Biologist & ML Engineer), Mphasis Centre for AI & Applied Technology, Ashoka University, Sonipat, Haryana 131029, India.

2024–2024 : Research Scientist, Cellogen Therapeutics, India.

2018–2025 : PhD in Biotechnology (Computational Biophysics), North-Eastern Hill University (NEHU), Shillong, Meghalaya 793022, India.

2013–2015 : MSc in Molecular Microbiology, University of Hyderabad, Hyderabad, Telangana 500046, India.

2010–2013 : BSc in Microbiology, University of Kalyani, Kalyani, West Bengal 741235, India.

Selected Publications

  1. Ganguly, R., Mylliemngap, B. J., & Bhattacharjee, A. (2023). Discovery of a novel inhibitor against urokinase-type plasminogen activator, a potential enzyme with a role in atherosclerotic plaque instability. Journal of Biomolecular Structure and Dynamics, 41(8), 3485–3495.
  2. Akhtar, A., Shakir, M., Ansari, M. S., et al., Ganguly, R., et al. (2025). Bioengineering the metabolic network of CAR T cells with GLP-1 and Urolithin A increases persistence and long-term anti-tumor activity. Cell Reports Medicine, 6(3).
  3. Das, S., Bagchi, A., Bera, A., et al., Ganguly, R., et al. (2025). In silico drug repositioning studies of Candida albicans Nitrogen permease reactivator 1 (Npr1) kinase. Scientific Reports, 15(1), 23626.
  4. Jamir, K., Ganguly, R., & Seshagirirao, K. C. (2020). ZCPG, a cysteine protease from Zingiber montanum rhizome exhibits enhanced anti-inflammatory and acetylcholinesterase inhibition potential. International Journal of Biological Macromolecules, 163, 2429–2438.
  5. Ganguly, R., Ngoruh, A., Ingty, P., Yadav, S. K., & Bhattacharjee, A. Identification of an inhibitor for the atherosclerotic enzyme NOX-1 to inhibit ROS production. Future Journal of Pharmaceutical Sciences.
  6. Ganguly, R., Ngoruh, A., Ingty, P., Yadav, S. K., & Bhattacharjee, A. Designing a multi-epitope vaccine against SARS-CoV-2. International Journal of Pharmaceutical Sciences and Drug Research.
  7. Yadav, S. K., Ganguly, R., & Bhattacharjee, A. Discovery of repurposed FDA-approved drugs against SARS-CoV-2 Omicron. Journal of Advanced Scientific Research.
  8. Ahuja, G., Agarwal, A., Mishra, H. P., Agrawal, S., Ganguly, R., Sharma, A., et al., Kutum, R. (2025). PRISM: Physician Rules Integrated with Small Large Language Models for Probable Diagnoses Associated with Abdominal Pain. Second Workshop on GenAI for Health, NeurIPS 2025.
  9. Ganguly, R., Roy, R., & Bhattacharjee, A. (2023). Selecting optimal molecular interaction settings and identifying key biological targets through enrichment analysis and data mining. Proceedings of the International Conference on Computational Modeling and Sustainable Energy (ICCMSE 2023), Springer Nature.
  10. Ganguly, R., et al. (2024). Herbal Medicine: History, Contemporary Use and the Future. In Herbs for Disease Prevention and Treatment. Bentham Science Publishers.
  11. Ganguly, R., Yadav, S. K., & Bhattacharjee, A. Topotecan and (22S)-Budesonide as potential drug candidates against ORF3a. NEHU Journal.
  12. Ganguly, R., & Bhattacharjee, A. (2019). Atherosclerotic plaque development: Disease pathogenesis and emerging treatment options. NEHU Journal.
  13. Ganguly, R., Uversky, V. N., Ingty, P., Ngoruh, A., Yadav, S. K., & Bhattacharjee, A. Metadynamics and free-energy landscape approaches for structural characterization of Galectin-3. Research Square (Preprint).
  14. Sachu, M., Ganguly, R., Bhattacharjee, A., & Syiem, M. B. Herbicide MCPA regulates photosynthesis by repressing gene expression in Nostoc muscorum. Research Square (Preprint).
  15. Dharavath, S., et al., Ganguly, R., et al. (2022). Artificial Intelligence to Identify Heart Valve Blocks and Targeted Nanoparticle Delivery. Indian Patent No. 202241018235 (Published).

Posters & Conferences

  1. Ganguly, R. (March 2021). Enrichment of pharmacokinetic characteristics of UK122, a potential inhibitor of urokinase-type plasminogen activator (uPA). Indian Conference on Bioinformatics (InBix 2021). Best Poster Presentation Award.
  2. Ganguly, R. (March 2022). Identification of repurposed FDA-approved drugs against the SARS-CoV-2 Omicron variant using computational approaches. Contemporary Research in Biotechnology, Department of Biotechnology and Bioinformatics, NEHU, Shillong.
  3. Ganguly, R. (October 2022). Repurposing FDA-approved drugs targeting the receptor-binding domain (RBD) of the SARS-CoV-2 Omicron spike protein. Integrated Approach to Science & Technology for a Sustainable Future.
  4. Ganguly, R. (November 2022). Enrichment-based optimization of in silico inhibitor screening parameters for the ADAMTS-4 enzyme. National Conference: Current Trends in Medical Biotechnology – Society for Biotechnologists, India.
  5. Ganguly, R., Roy, R., & Bhattacharjee, A. (2023). Selecting optimal molecular interaction settings and identifying key biological targets through enrichment analysis and data mining. International Conference on Computational Modeling and Sustainable Energy (ICCMSE 2023), Gandhinagar, India.
  6. Ahuja, G., Agarwal, A., Mishra, H. P., Agrawal, S., Ganguly, R., Sharma, A., et al., Kutum, R. (2025). PRISM: Physician Rules Integrated with Small Large Language Models for Probable Diagnoses Associated with Abdominal Pain. Second Workshop on GenAI for Health, NeurIPS 2025.
  7. Yadav, S. K., Ganguly, R., Ngoruh, A., & Bhattacharjee, A. (March 2026). An in silico binding profile of Tanomastat against isoforms of MMP-9 in humans. ICECBISF-2026, B. Borooah College (Autonomous), Guwahati, Assam, India.