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Aravindhan
Ganesan

571 words·3 mins

Aravindhan Ganesan MSc PhD
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  • Dr. Aravindhan Ganesan is Research Assistant Professor at University of Waterloo’s School of Pharmacy
  • He is a leading expert in computational molecular biosciences and drug discovery
  • His work bridges molecular pharmacology, computational tool development, and structural biology, with applications in neurodegeneration, cancer, and COVID-19 therapeutics.
aravindhan ganesan
Dr. Aravindhan Ganesan
University of Waterloo
Credit: uwaterloo.ca

Introduction
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Dr. Ganesan’s research focuses on molecular recognition, small molecule therapeutic design, and advanced computational tools for in silico structural biology. His multidisciplinary approach combines molecular dynamics simulations, in silico mutagenesis, and protein-protein modeling to unravel biological events at the molecular level, enabling rational drug design.


Professional Background and Achievements
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Education
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Postdoctoral Research
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Current Positions
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Research Focus
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Key Areas
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  1. Molecular Recognition in Biological Systems

    • Computational methodologies for cannabinoid receptor pharmacology.
    • Aggregation of hnRNPA1 proteins in multiple sclerosis.
  2. Small Molecule Therapeutics

    • Neurodegeneration, cancer, and COVID-19 drug design.
    • Novel scaffolds (eg 4501-series, N17-series) targeting CTLA-4 and PD-L1 pathways in cancer immunotherapy.
  3. Computational Tools for Structural Biology

    • Molecular dynamics simulations and protein-protein modeling.
    • SARS-CoV-2 Mpro inhibitors: Identified the role of a lateral pocket in enhancing ligand affinity for antiviral drug development.

Collaborations
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Awards and Honors
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Publications
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Title Journal Year Link
Molecular dynamics and in silico mutagenesis on the reversible inhibitor-bound SARS-CoV-2 main protease complexes reveal the role of a lateral pocket in enhancing the ligand affinity Scientific Reports 2021 link
hnRNP A/B Proteins: An encyclopedic assessment of their roles in homeostasis and diseases Biology 2021 link
Structure-based virtual screening, molecular dynamics, and binding affinity calculations of potential phytocompounds against SARS-CoV-2 Journal of Biomolecular Structure and Dynamics 2021 link
Targeting B7-1 in Immunotherapy Medicinal Research Reviews 2019 link
Comprehensive in vitro characterization of PD-L1 inhibitors Nature 2019 link
Revealing the atomistic details behind the binding of B7-1 to CD28 and CTLA-4 Biochimica et Biophysica Acta-General Subjects 2018 link
A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions BMC Medical Informatics and Decision Making 2018 link
Molecular ’time-machines’ to unravel key biological events for drug design WIREs: Computational Molecular Science 2017 link
Simple design of an enzyme inspired supported catalyst based on a catalytic triad Chem 2017 link

Patents
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Systems and methods of selecting compounds with reduced risk of cardiotoxicity using cardiac sodium ion channel models


References
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