We study how genes, proteins, and cells work together, and what goes wrong in disease. Using AI, structural biology, and multi-scale data, we build tools that address India's most pressing health challenges.
We work at the crossroads of structural biology, machine learning, and systems biology. Starting from protein structures and DNA sequences, we trace how molecular changes drive disease, then use AI and multi-omics data to find targets for treatment. Our focus is on the diseases most relevant in India: heart disease, neurodegeneration, blood disorders, and cancer. The goal is science that is rigorous at the bench and translatable at the bedside.
Understanding how proteins move, fold, and interact at atomic resolution, using molecular dynamics and structural modeling.
3 projects →Building AI systems that learn the rules behind effective drugs, and can explain those rules to scientists.
2 projects →Combining genomic, transcriptomic, and clinical data to find disease signatures, predict patient risk, and automate diagnostics. Clinical partner: PGIMER, Chandigarh.
4 projects →Functional consequences of genetic variations in DgoR, a GntR/FadR family transcriptional repressor of D-galactonate metabolism in Escherichia coli
Molecular mechanisms underlying allosteric behavior of Escherichia coli DgoR, a GntR/FadR family transcriptional regulator.
In silico B-cell epitope prediction and molecular docking of Aspergillus allergens targeting improved ABPA diagnosis