Prageeth R. Wijewardhane
Computer Science · Purdue University West Lafayette
Publications
12
Citations
826
Est. group size
~3
Recurring co-author estimate
Active years
6
Publishing since 2020
Prageeth R. Wijewardhane works at the intersection of computer science and chemistry/biology, applying machine learning methods such as graph neural networks and recurrent neural networks to problems in drug discovery. This includes predicting the stability and aggregation behavior of peptide drugs, screening small-molecule compounds computationally, and studying molecular mechanisms related to neurodegenerative diseases like Alzheimer's disease.
Publication output has been modest but fairly steady over the last five years, averaging about one to two papers per year with no clear increase or decrease.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Amyloid-β induces lipid droplet-mediated microglial dysfunction via the enzyme DGAT2 in Alzheimer’s disease
Immunity · 2025
- Recurrent Neural Networks Predict Future Peptide Aggregation for Drug Development
Molecular Pharmaceutics · 2025
- Recent Developments in Machine Learning for Mass Spectrometry
ACS Measurement Science Au · 2024
- Modeling Molecular Mechanisms of Pirfenidone Interaction with Kinases
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Learning Relationships Between Chemical and Physical Stability for Peptide Drug Development
Pharmaceutical Research · 2023
- Amyloid β Induces Lipid Droplet-Mediated Microglial Dysfunction in Alzheimer’s Disease
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Learning relationships between chemical and physical stability for drug development
ChemRxiv · 2022
- Neurotoxic reactive astrocytes induce cell death via saturated lipids
Nature · 2021
- Graph Neural Networks Bootstrapped for Synthetic Selection and Validation of Small Molecule Immunomodulators
2021
- Graph Neural Networks Bootstrapped for Synthetic Selection and Validation of Small Molecule Immunomodulators
ChemRxiv · 2021
- Combined Molecular Graph Neural Network and Structural Docking Selects Potent Programmable Cell Death Protein 1/Programmable Death-Ligand 1 (PD-1/PD-L1) Small Molecule Inhibitors
ChemRxiv · 2020
- Combined Molecular Graph Neural Network and Structural Docking Selects Potent Programmable Cell Death Protein 1/Programmable Death-Ligand 1 (PD-1/PD-L1) Small Molecule Inhibitors
ChemRxiv · 2020
- ChemRxiv×4
- bioRxiv (Cold Spring Harbor Laboratory)×2
- Nature×1
- ACS Measurement Science Au×1
- Immunity×1
- Abayomi Emmanuel Adegboyega
Computer Science · Purdue University West Lafayette
- Krupal P. Jethava
Computer Science · Purdue University West Lafayette
- Gopichand Gutti
Computer Science · The Ohio State University
- Gaurav Chopra
Computer Science · Purdue University West Lafayette
- Abhik Seal
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile