Ravi Kant

Ravi Kant

Post-Doctoral Research Fellow

University of Southampton, United Kingdom (UK)

Email: R.kant@soton.ac.uk

 

 

 

 

VALIDATE Role:

Network Associate

 

Research Keywords:

Leishmaniasis, Vaccine Candidates, Reverse Vaccinology, Artificial Intelligence, Machine Learning

 

Biography:

Dr. Ravi Kant is a Post-Doctoral Research Fellow at the Faculty of Medicine, University of Southampton, England, UK. As a Computational Biologist, his research focuses on identifying novel drug and vaccine candidates to address pressing global health challenges, particularly those caused by pathogens prioritized by the VALIDATE network, such as Leishmania. His expertise lies in leveraging advanced computational biology tools and artificial intelligence (AI) to design therapeutic interventions for neglected tropical diseases and sexually transmitted infections.

Dr. Kant's primary research responsibilities encompass various aspects of the drug discovery and vaccine development pipeline, including homology modeling, pharmacophore generation, molecular docking, molecular dynamics simulations, and immunoinformatics. By integrating computational predictions with experimental validation, he aims to streamline the identification of immune-dominant epitopes and lead molecules for vaccine and therapeutic development against pathogens such as Leishmania and Mycobacterium tuberculosis.

Throughout his nine-year research career, Dr. Kant has received numerous prestigious accolades, including the NIHR Southampton Biomedical Research Centre (BRC) Education, Training and Career Development Fund, the Bill & Melinda Gates Foundation Fellowship (eight times), the Young Investigator Award for India & Southeast Asia, the Young Scientist Award (three times), the Outstanding Research Scholar Award (twice), and most recently, the BBSRC-UKRI International Partnership Funding.

Dr. Kant has been actively involved in international collaborations and knowledge exchange, traveling 14 times to countries such as the UK, United States, South Korea, Singapore, Canada, Thailand, South Africa, and Germany. He has presented his findings at global conferences and contributed to advancing research on vaccine candidates and therapeutics through publications and patents.

His ongoing research projects, supported by major funding agencies like the Indian Council of Medical Research (ICMR), the Department of Biotechnology (DBT), Government of India, and BBSRC-UKRI in the UK, focus on computationally driven discovery of interventions for diseases caused by intracellular pathogens, including Leishmania. Dr. Kant’s work aligns closely with VALIDATE’s vision of fostering innovation, collaboration, and equity in addressing global health challenges, particularly in low- and middle-income countries.

 

Related Websites:

Google Sites

University of Southampton

LinkedIn

 

Key Publications:

  • R. Kant, H. Tilford, C.S. Freitas, D.A. Santos Ferreira, J. Ng, G. Rucinski, J. Watkins, R. Pemberton, T.M. Abramyan, S.C. Contreras, A. Vera, M. Christodoulides. Antimicrobial activity of compounds identified by artificial intelligence discovery engine targeting enzymes involved in Neisseria gonorrhoeae peptidoglycan metabolism. Biol Res 57, 62 (2024).
  • R. Kant, N. Kumar, Y.S. Malik, D. Everett, D. Saluja, T. Launey, R. Kaushik (2024): Critical Insights from Recent Outbreaks of Mycoplasma pneumoniae: Decoding the Challenges and Effective Interventions Strategies, Int J Infect Dis, 2024, 107200,ISSN1201-9712, https://doi.org/10.1016/j.ijid.2024.107200.
  • R. Kant, M.S, Khan, M. Chopra, D. Saluja (2024): Artificial Intelligence-Driven Reverse Vaccinology for Neisseria gonorrhoeae vaccine: Prioritizing Epitope-Based Candidates. Front. Mol. Biosci. - Mol Diag Ther DOI: 10.3389/fmolb.2024.1442158
  • D. Tripathi, A. Kapoor, B. Pankaj, R. Kant, D. Saluja, M. Sharma (2024): Functional annotation of Candida albicans hypothetical proteins: a bioinformatics approach. Arch Microbiol. https://doi.org/10.1007/s00203-024- 03840-9
  • Bhowmik R, Kant R, Manaithiya A, Saluja D, Vyas B, Nath R, Qureshi KA, Parkkila S and Aspatwar A (2024): Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study. Front. Pharmacol. 14:1340724. doi: 10.3389/fphar.2023.1340724
  • R. Kant, R. Kaushik, M. Chopra & D. Saluja (2024) Structure-based drug discovery to identify SARS-CoV2 spike protein–ACE2 interaction inhibitors, J Biomol Struct Dynamics, DOI: 10.1080/07391102.2023.2300060
  • A. Pawar, C. Konwar, P. Jha, R. Kant, M. Chopra, U. Chaudhary, D. Saluja: Bactericidal activity of esculetin is associated with impaired cell wall synthesis by targeting glutamate racemase of Neisseria gonorrhoeae. Journal Mol Divers (2023)
  • Kaushik, R.; Kant, R.; Christodoulides, M. Mini Review: Artificial Intelligence in Accelerating vaccine development - Current and future perspectives. Front Bacteriol 2023, 2, 663. https:// doi: 10.3389/fbrio.2023.1258159
  • Amaral, M.; Varela, M.T.; Kant, R.; Christodoulides, M.; Fernandes, J.P.S.; Tempone, A.G. Synthetic Analogues of Gibbilimbol B Induce Bioenergetic Damage and Calcium Imbalance in Trypanosoma cruzi. Life 2023, 13, 663. https:// doi.org/10.3390/life13030663
  • S. S. Jindal, R. Kant, D. Saluja, K.K. Aggarwal (2023): Identification of thrombin inhibiting antithrombin –III like protein from Punica granatum using in silico approach and in vitro validation of thrombin inhibition activity in crude protein. Nat Prod Res (GNPL), DOI: 10.1080/14786419. 2023.2169919.