Computational & Structural Biology

Leveraging bioinformatics, molecular docking, and in-silico approaches to study deleterious nucleotide polymorphisms, predict their impact on protein structure and function, and identify novel drug targets. Our computational work spans genome and transcriptome data analysis, MDM2 polymorphism studies in cancer resistance, and protein dynamics simulations.

Current Investigations

Our laboratory heavily focuses on understanding the molecular underpinnings described above. Through a combination of in-silico predictions and in-vitro experimental validation, we aim to bridge the gap between basic mechanistic understanding and translational therapeutic strategies.