Author

Gargi M. Kher

University of PittsburghORCID 0000-0002-8198-2418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

John P. BartoniD· 2 shared Kai S ShimagakiiD· 1 shared Marco Garcia Noceda· 1 shared Rebecca M. LynchiD· 1 shared Shikhar UttamiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersImmunology

John P. BartonORCID

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2 papers

Recent·Most cited

ImmunologyPLoS Computational BiologyPeer-reviewedSep 15, 2025

Clonal heterogeneity and antigenic stimulation shape persistence of the latent reservoir of HIV

Marco Garcia Noceda, Gargi M. Kher, Shikhar Uttam, John P. Barton

This study develops a quantitative model to show that antigenic stimulation and clonal heterogeneity shape the persistence of the HIV-1 latent reservoir.

DOI 10.1371/journal.pcbi.1013433

humanstatistical model

𝕏 PostBluesky

ImmunologybioRxivPreprintAug 8, 2025

Predicting viral sensitivity to antibodies using genetic sequences and antibody similarities

Kai S Shimagaki, Gargi M. Kher, Rebecca M. Lynch, John P. Barton

This paper develops a method to predict viral sensitivity to antibodies using genetic sequences and antibody similarities, showing it outperforms existing approaches and can predict neutralization values for unseen viruses.

DOI 10.1101/2025.08.08.669352

deep learningdrug response / drug discovery

𝕏 PostBluesky