Computational Biology Lab
Our research is focused on utilizing computational tools and in-vitro analysis to study and address
a wide range of diseases. The lab specializes in molecular modeling,
prediction and analysis of deleterious SNPs,
protein-ligand docking, and
molecular dynamics simulations to understand how protein variations influence drug response.
Specific diseases we focus on include:
- Metabolic Disorders: Lysosomal storage disorders, hypogonadism
- Cancer Therapy: Oral submucous fibrosis, oral squamous cell carcinoma, colorectal cancer
- Drug-Resistant Pathogens: Mycobacterium tuberculosis, carbapenem-resistant bacteria, and other multi-drug resistant strains
Additionally, we investigate natural drug-like compounds derived from plant sources and
chemical databases, aiming to develop novel therapeutics for the diseases mentioned above.
Our studies also integrate advanced omics data analysis, including
pathway enrichment analysis and whole-exome sequencing, to uncover genetic variants,
oncogenic signatures, and key molecular pathways underlying complex diseases.
The ultimate goal of our research is to accelerate the translation of scientific findings into clinical applications
and enhance personalized treatment strategies.
