Ganesh Bagler

AllerStack predicts allergenic proteins using a stacked ensemble model with high accuracy and a public web server for real-time predictions.

The paper improves protein thermal stability classification using sequence mining and network centrality statistics, achieving 96% accuracy.

BitterSweet develops machine learning models to predict bitter and sweet taste of small molecules using curated datasets and molecular descriptors.

This paper applies network controllability theory to study how HIV-1 and HCV infections control host cell networks by targeting critical nodes more efficiently than uninfected states.

This study analyzes biomedical literature to assess the health impacts of culinary herbs and spices, finding broad therapeutic benefits across diseases with limited adverse effects.

SpiceRx compiles health impacts of culinary spices and herbs by integrating phytochemical and disease associations from biomedical literature.