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Hi! I'm Kusal Debnath. I am pursuing my PhD at Virginia Commonwealth University, USA. My research focuses on leveraging artificial intelligence and machine learning techniques to accelerate the drug discovery process.

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Artificial Intelligence Drug Discovery Cheminformatics Molecular Modeling Large Language Models

Ongoing Research

Currently I am working on drug-structure optimization and drug-drug synergy prediction

Latest Updates

September 22, 2025

Our work titled "A survey on deep learning for drug-target binding prediction: models, benchmarks, evaluation, and case studies" got published in Briefings in Bioinformatics!

September 8, 2025

Our work titled "24R,25(OH)2D3 regulates tumorigenesis in estrogen sensitive laryngeal cancer cells via membrane-associated receptor complexes in ER+ and ER− cells" got published in International Journal of Cancer!

Publications

A survey on deep learning for drug-target binding prediction: models, benchmarks, evaluation, and case studies
Kusal Debnath, Pratip Rana, Preetam Ghosh
Briefings in Bioinformatics, 2025
Paper
24R,25(OH)2D3 regulates tumorigenesis in estrogen sensitive laryngeal cancer cells via membrane-associated receptor complexes in ER+ and ER− cells
Cydney D Dennis, D Joshua Cohen, Kusal Debnath, Nofrat Schwartz, Brock P Lodato, Jonathan T Dillon, Tillat Batool, Matthew S Halquist, Preetam Ghosh, Zvi Schwartz, Barbara D Boyan
International Journal of Cancer, 2025
Paper
GramSeq-DTA: A Grammar-Based Drug–Target Affinity Prediction Approach Fusing Gene Expression Information
Kusal Debnath, Pratip Rana, Preetam Ghosh
Biomolecules, 2025
Paper Code