معرفی
Aravindhan Ganesan is an Adjunct Assistant Professor at the University of Waterloo specializing in medicinal chemistry with a focus on computational drug discovery and molecular modeling. His research spans virology, neurodegenerative diseases, and protein interactions, leveraging techniques like molecular dynamics simulations and structure-based drug design.
Key research areas include:
- Mechanisms of SARS-CoV-2 protease inhibition
- Role of post-translational modifications in tau protein pathology
- RNA-protein interactions in neurodegenerative disorders
- Design of COX-2 inhibitors and phytochemical-based antivirals
His work bridges computational biology with experimental validation, addressing challenges in drug solubility, cardiotoxicity prediction, and enzyme engineering. Over 40 publications since 2010 reflect contributions to medicinal chemistry, virology, and bioinformatics, with particular emphasis on leveraging AI and molecular modeling tools for drug development.
Notable methodologies include:
- Fragment-based electronic structural analysis
- QSAR modeling and virtual screening
- Protein-protein interaction studies (e.g., B7-1/CD28/CTLA-4)
- Cardiac ion channel modeling for toxicity assessment
Current efforts focus on:
- Developing stable enzymes for CO₂ capture
- Targeting hnRNP proteins in neurodegenerative diseases
- Exploiting phytochemicals for coronavirus inhibition
