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About IHBT

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Thursday April 23, 2026 2:04:10 am

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Research

Software & Web server

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Publications

Workshop/Conference

GitHub

Careers

Qualification:

M.Sc. in Bioinformatics, Center of Bioinformatics, University of Allahabad, Prayagraj, UP

Area of Interest:

Epigenomics, Big Data Analytics, Molecular Docking, and Molecular Dynamics.

Publications:

† Equally contributed * Corresponding Author

A comprehensive gene expression analysis of extensive cohorts from colon adenocarcinoma uncovered a set of genes regulated by DNA hypomethylation and predominantly influenced by lipid raft-mediated EGFR-RAS-MAPK signaling
Ankan Roy, Niharika, Veerbhan Kesarwani, Ravi Shankar, Samir Kumar Patra*
Molecular Carcinogenesis, 2026 Read the research article here

PTF-Vāc: An explainable and generative deep co-learning encoders-decoders system for ab-initio discovery of plant transcription factor binding sites
Sagar Gupta, Umesh Bhati, Jyoti, Veerbhan Kesarwani, Akanksha Sharma, Ravi Shankar*
Plant Communications, 2025 Read the research article here

DMRU: Generative deep learning to unravel condition-specific cytosine methylation in plants
Sagar Gupta, Anchit Kumar, Veerbhan Kesarwani, Umesh Bhati, Ravi Shankar*
Briefings in Bioinformatics, 2025 Read the research article here

Chemoinformatics exploration of synthetically accessible N-heterocycles: uncovering new antifungal lead candidates
Shiv Shankar Gupta^†, Veerbhan Kesarwani^†, Ravi Shankar*, Upendra Sharma*
In Silico Pharmacology, 2025 Read the research article here

Genome wide identification of WUSHEL-related homeobox genes reveal their differential regulation during cold stress and in vitro organogenesis in Picrorhiza kurrooa
Jhilmil Nath, Shubham Joshi, Sagar Gupta, Veerbhan Kesarwani, Ravi Shankar and Rohit Joshi*
In Vitro Cellular & Developmental Biology - Plant, 2024 Read the research article here

PTFSpot: deep co-learning on transcription factors and their binding regions attains impeccable universality in plants
Sagar Gupta, Veerbhan Kesarwani, Umesh Bhati, Jyoti, Ravi Shankar*
Briefings in Bioinformatics, 2024 Read the research article here

Nutritional quality and microbial diversity of Chhurpe from different milk sources - An ethnic fermented food of high-altitude regions of the Western Himalayas
Sahdev Choudhary^†, Kumari Shanu^†, Athrinandan S Hegde^†, Veerbhan Kesarwani, Raman Kumar, Ravi Shankar*, Sarita Devi*, Vidyashankar Srivatsan*
Discover Food, 2024 Read the research article here

Flavonoids from Aerial Parts of Cissampelos pareira L. as Antimalarial Agents: Computational Validation of Ethnopharmacological Relevance
Patil Shivprasad Suresh^†, Veerbhan Kesarwani^†, Surekha Kumari, Ravi Shankar*, Upendra Sharma*
South African Journal of Botany, 2023 Read the research article here

Bisbenzylisoquinolines from Cissampelos pareira L. as Antimalarial Agents: Molecular Docking, Pharmacokinetics Analysis, and Molecular Dynamic Simulation Studies
Patil Shivprasad Suresh^†, Veerbhan Kesarwani^†, Surekha Kumari, Ravi Shankar*, Upendra Sharma*
Computational Biology and Chemistry, 2023 Read the research article here

Conference Poster: DMRU: Generative Deep-Learning to unravel condition specific cytosine methylations in plants
Sagar Gupta, Anchit Kumar, Veerbhan Kesarwani, Umesh Bhati, Ravi Shankar*
GIW XXXIV ISCB-Asia,
International Conference on Genome Informatics ISCB-Asia, Hong Kong, 2025
Find the conference poster here

Conference Poster: Deep-Learning on condition specific expression profiles reveal critical cytosines in gene regulation
Veerbhan Kesarwani, Anchit Kumar, Akanksha Sharma, Sagar Gupta, Ravi Shankar*
Plant evolution: from origins to diversification on land,
Gregor Mendel Institute for Molecular Plant Biology, Vienna, Austria, 2025
Find the conference poster here

Conference Poster: Decoding Plant TF-DNA Interactions Using PTFSpot and PTF-Vac: A Universal and Data-Independent Deep Learning Approach
Sagar Gupta, Jyoti, Umesh Bhati, Veerbhan Kesarwani, Akanksha Sharma, Ravi Shankar*
22nd Horizons in Molecular Biology Symposium,
Max Planck Institute for Multidisciplinary Sciences, Gottingen, Germany, 2025
Find the conference poster here

Conference Poster: The Genomics Armoury @ The Himalayan Centre for High-throughput Computational Biology
Sagar Gupta, Umesh Bhati, Jyoti, Veerbhan Kesarwani, Akanksha Sharma, Anchit Kumar, Ravi Shankar*
Genomics India Conference, IISc, Bengaluru, 2025 Find the conference poster here

ProMaya: a hierarchical universal Deep Learning framework for accurate and interpretable Protein-Protein interaction identification
Umesh Bhati, Sagar Gupta, Veerbhan Kesarwani, Ravi Shankar*
bioRxiv, 2026 Read the research article here

Explainable Deep-Learning on condition specific expression profiles reveals critical cytosines in gene regulation
Veerbhan Kesarwani, Anchit Kumar, Akanksha Sharma, Sagar Gupta, Kirti Pandey, Gaurav Zinta, Ravi Shankar*
bioRxiv, 2026 Read the research article here

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