Research Technician
RolesResearch Technician (Alumni)
Research topicDocking & ML for tuberculosis drug resistance
Education and Previous affiliationMSc bioinformatics from SASTRA deemed university
Research interests: Drug resistance, docking analysis, machine learning, structural bioinformatics.
My work focuses on docking analysis and machine-learning-driven drug-resistance studies, particularly in Mycobacterium tuberculosis. I use MACCS fingerprints to develop predictive models for identifying drug candidates and resistance mutations, and molecular docking simulations to evaluate binding affinities and predict therapeutic effectiveness, aiming to enhance drug-targeting precision.