Computational Biophysical Chemistry · SNBNCBS · Est. 2023
Abdul Aziz Mandal — Research Scholar
Working at the intersection of computational chemistry, biophysics, and machine learning to unravel molecular aggregation pathways and interactions of complex biological systems at S.N. Bose National Centre for Basic Sciences, Kolkata.
About Me
I am a Research Scholar in Computational Chemistry (MD Simulation) at the S. N. Bose National Centre for Basic Sciences (SNBNCBS), Kolkata. My work sits at the intersection of physical chemistry, biophysics, and computational science.
My research aims to unravel the molecular aggregation pathways and molecular interactions of small molecules in complex biological systems — particularly disease-linked peptide and protein aggregation processes and their modulation by small organic molecules and metal ions.
I am currently developing expertise in machine learning potentials and enhanced-sampling techniques to push the boundaries of what classical MD simulations can reveal about biological systems.
Research Interests
Education
Achievements & Awards
Research Themes
Exploring the aggregation pathways of disease-linked proteins and peptides (Alzheimer's, Parkinson's) and mechanistic inhibition by small molecules and metal ions using atomistic MD simulations.
Computational BiologyDeveloping expertise in ML-based force fields and enhanced sampling methods — metadynamics, replica exchange, OPES — to access timescales beyond classical MD.
ML / AIInvestigating the role of water structure and solvation dynamics in modulating protein stability, aggregation, and small-molecule binding thermodynamics.
Physical ChemistryStudying binding affinities and interaction mechanisms of small organic molecules with aggregation-prone proteins using docking and free-energy perturbation methods.
MD SimulationsCharacterising the conformational ensemble and aggregation propensity of intrinsically disordered regions using all-atom simulations.
BiophysicsLearning and applying umbrella sampling, metadynamics, thermodynamic integration, and MBAR to compute binding free energies and conformational free energy landscapes.
Statistical MechanicsComputational Tools & Software
Selected Work
People
Opportunities
Positions will be listed here as they open. If you are interested in computational biophysics, molecular dynamics, or ML-driven simulation methods, feel free to reach out.
Comin Soon
Comin Soon
Interested in a project collaboration, summer internship, or research visit? Write to me with your background and interests.
Network
Find Me
I am open to research collaborations, seminar invitations, and discussions on computational biophysical chemistry. Graduate students and postdocs interested in joining are also welcome to write.
Please include a brief description of your background and what you'd like to work on. I typically respond within 3–5 working days.
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