Prabal Chhibbar
Graduate Student Researcher
Prabal completed his B.Tech in computer science and engineering from SRM Institute of Science and Technology in 2019. His interests are in Protein-Protein Interactions, Host-Viral interactions, complex networks, machine learning, and deep learning. Prabal is always eager to discuss science and brainstorm ideas. Out of work, you can find him passionately discussing politics, reading voraciously and consuming a whole lot of content.
Changelog (2)
June, 2023
June, 2023
Prabal Chhibbar successfully defends his proposal to be a PhD CandidateJanuary, 2022
January, 2022
Prabal Chhibbar joins the lab as a PhD student from ISB ProgramPublications (7)
RepurNet: A network medicine framework for systematic drug repurposing and disease vulnerability discovery
04/27/2026 - iScience
Pentaparthi S, Zou R, Chhibbar P, Shrawat A, [...], Das J, Sahni N, Wu E, Yi S
Sliding Window Interaction Grammar (SWING): a generalized interaction language model for peptide and protein interactions
07/28/2025 - Nature Methods
Siwek J*, Omelchenko A*, Chhibbar P*, Arshad S, [...], Shlomchik M, Koes D, Joglekar A^, Das J^
Machine learning approaches enable the discovery of therapeutics across domains
04/03/2025 - Molecular Therapy
Chhibbar P^, Das J^
Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks
11/24/2024 - Cell Reports
Chhibbar P*, Roy P*, Harioudh M*, McGrail D, [...], Yi SS, Sahni N, Sarkar S, Das J^
Temporal dynamics and genomic programming of plasma cell fates
06/19/2024 - Nature Immunology
Vijay G, Zhou M, Thakkar K, Rothrauff A, [...], Borghesi L, Salomonis N, Xu H, Singh H
SARS-CoV-2 mRNA vaccines induce greater complement activation and decreased viremia and Nef antibodies in men with HIV-1
11/30/2023 - The Journal of Infectious Diseases
Tuttle D, Castanha P, Nasser A, Wilkins M, [...], Mailliard R, Sluis-Cremer N, Rinaldo C, Marques E
From bench to bedside via bytes- multi-omic immunoprofiling and integration using machine learning and network approaches
11/09/2023 - Human Vaccines & Immunotherapeutics
Xiao H*, Rosen A*, Chhibbar P*, Moise L, Das J^