Associate Professor

My broad research goal is to undertake Insilico Structural Bioinformatics and Systems biology/network pharmacology-associated research & Education with an emphasis on 3D structure to advance our understanding of living systems. Currently working on projects related to the Integration of AI in drug Discovery-Target Identification, Validation, identifying promising targets towards AI-powered de novo drug design. Structure-based study of the properties of the binding pockets and a complete understanding of how molecules interact can be attained only from three-dimensional (3D) structures, as these provide crucial atomic details about binding and lead to investigate their potential as drug targets. This understanding encompasses research into protein structure, protein function, evolution, disease relationships, and drug discovery. I use my computational background and software skills to answer research questions from various disciplines, including neuroscience and biology. My research continues to investigate approaches to discover & understand the mechanisms that give rise to disease, particularly interested in Alzheimer’s disease, Cancer and other Neurodegenerative disorders. My fundamental questions interest me is, as we are conscious that, Present-day molecular and cell biology no longer focus only on single macromolecules; however, now we can look into the organisation of pathways, signalling, complexes or even the regulation of entire organisms regulation. Likewise, my PhD research similarly connected to Molecular interaction network analysis, pathway discovery, Phosphorylation Pathways, protein–protein interactions across kinases and phosphatases to identify better drug targets for Alzheimer’s to understand molecular basis of Alzheimer's disease, the sixth leading cause of death and affects one in every 10 individuals aged 65 or older and other neurodegenerative diseases & open research problems in computational structural bioinformatics, Protein-protein interactions and Neuroinformatics. CORE COMPETENCIES: Extensive Knowledge of Protein structure prediction/Gene sequence data analysis, Comparative genome analysis, structure/Ligand-based Drug designing, Virtual screening & Chemoinformatics. BROAD RESEARCH AREAS OF MY INTEREST & WORK IN PROGRESS: • Integration of AI in drug Discovery-Target Identification, Validation, identify promising targets towards AI-powered de novo drug design • Neurodegeneration: Aging, Alzheimer's disease, amyloid aggregation, Kinases and Phosphatases implicated in neurodegeneration, metals and peptide interaction, mitochondria, neuron regeneration, protein phosphorylation tau protein, taupathies. Network pharmacology. • Medical genomics /Clinical informatics • Structural Systems biology/Network medicine-based approach to human disease • Neuroinformatics/ Computational Structural Bioinformatics • Proteomics of Neurological Disorders/ Human body fluids • Polypharmacology approaches for Drug repurposing (T2D and Cancer) • Food informatics/Pathogen Bioinformatics: characterising novel molecular drug targets. Experience: 20 years of Research experience and 24 years of Academic experience in teaching Clinical Biochemistry, Cell Biology, Genomics & Proteomics, Protein Engg.& Drug design, Metabolic engg. Forensic science, etc., and 18 years of experience in practical Bioinformatics, etc.