U. Deva Priyakumar

This paper develops hybrid ensemble models for predicting gut microbiome-related diseases, achieving high accuracy and robustness across diverse datasets.

This study evaluates the performance of different force fields and water models in simulating intrinsically disordered proteins (IDPs) using structural and dynamical observables.

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.

This study identifies metabolic changes in SARS-CoV-2 infection using transcriptomic data from cell lines and patient samples, revealing both pro- and antiviral metabolic alterations.