PUResNet: prediction of protein-ligand binding sites using deep residual neural network. - Jeevan Kandel; Hilal Tayara; Kil To Chong 001 (J. Cheminformatics, 2021)

DL-SPhos: Prediction of serine phosphorylation sites using transformer language model. - Palistha Shrestha; Jeevan Kandel; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

PUResNetV2.0: a deep learning model leveraging sparse representation for improved ligand binding site prediction. - Jeevan Kandel; Palistha Shrestha; Hilal Tayara; Kil To Chong 001 (J. Cheminformatics, 2024)

NanoBinder: a machine learning assisted nanobody binding prediction tool using Rosetta energy scores. - Palistha Shrestha; Chandana S. Talwar; Jeevan Kandel; Kwang-Hyun Park; Kil To Chong 001; Eui-Jeon Woo; Hilal Tayara (J. Cheminformatics, 2025)