Author

Gandhar K. Mahadeshwar

Broad InstituteORCID 0000-0002-3181-7262Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Akshay AgarwaliD· 1 shared Alexander A. SousaiD· 1 shared Alvin HsuiD· 1 shared Amber N. McElroyiD· 1 shared Ana CristianiD· 1 shared Angus H. LiiD· 1 shared Benjamin J. SteinbeckiD· 1 shared Benjamin P. KleinstiveriD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Akshay AgarwalORCID

Author profile →

2 papers

Recent·Most cited

Mechanistic machine learning enables interpretable and generalizable prediction of prime editing outcomes

Alvin Hsu, Peter J. Chen, Angus H. Li, Colin F. Hemez, Xin D. Gao, Markus Terrey, C Nelson, Vijay Selvam, Ana Cristian, Amber N. McElroy, Benjamin J. Steinbeck, Gandhar K. Mahadeshwar, Smriti Pandey, Zachary Barsdale, Paul Chen, , David R. Liu

OptiPrime predicts prime editing outcomes with high accuracy, enabling efficient therapeutic applications in human and mouse cells.

bioRxiv · Feb 20, 2026 · PreprintBiochemistry

Predicting Epitope Candidates for SARS-CoV-2

Akshay Agarwal, Kristen L. Beck, Sara Capponi, Mark Kunitomi, Gowri Nayar, Ed Seabolt, Gandhar K. Mahadeshwar, Simone Bianco, Vandana V. Mukherjee, James H. Kaufman

The paper predicts epitope candidates for SARS-CoV-2 by analyzing epitope sequences from related coronaviruses and identifying conserved and diverse antigen regions across 62k genomes.

Viruses · Aug 21, 2022Peer-reviewedBioinformatics