Selvaraman Nagamani

This paper introduces HV-MultiScaleGNN, a graph neural network framework for predicting host-virus protein-protein interactions using network topology, achieving strong performance across multiple evaluation metrics.

The paper introduces OMNI, a graph neural network framework for biomedical interaction prediction, achieving high accuracy in chemical-gene interaction prediction.

The paper describes the development of MPDSCOVID-19, a disease-specific web portal for computational drug discovery, with updated modules and tools for COVID-19 research.