AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation. - Puneet Rawat; R. Prabakaran; Sandeep Kumar; M. Michael Gromiha (Bioinform., 2020)

Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets. - R. Prabakaran; Puneet Rawat; Sandeep Kumar; M. Michael Gromiha (Briefings Bioinform., 2021)

Erratum to: Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets. - R. Prabakaran; Puneet Rawat; Sandeep Kumar; M. Michael Gromiha (Briefings Bioinform., 2022)

Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies. - Puneet Rawat; Divya Sharma 002; R. Prabakaran; Fathima Ridha; Mugdha Mohkhedkar; Vani Janakiraman; M. Michael Gromiha (Bioinform., 2022)

Understanding the mutational frequency in SARS-CoV-2 proteome using structural features. - Puneet Rawat; Divya Sharma 002; Medha Pandey; R. Prabakaran; M. Michael Gromiha (Comput. Biol. Medicine, 2022)

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. - Philippe A. Robert; Rahmad Akbar; Robert Frank 006; Milena Pavlovic; Michael Widrich; Igor Snapkov; Andrei Slabodkin; Maria Chernigovskaya; Lonneke Scheffer; Eva Smorodina; Puneet Rawat; Brij Bhushan Mehta; et al. (Nat. Comput. Sci., 2022)