Author

Arnav Sharma

University of Wisconsin–MadisonORCID 0009-0000-3610-861XUnclaimed ORCID profile · follow to get notified of new preprints

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Arnav Sharma1 paper · Howard Hughes Medical Institute

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Anthony GitteriD· 1 shared Bryce JohnsoniD· 1 shared Chase R. FreschliniD· 1 shared John Peters· 1 shared Philip A. RomeroiD· 1 shared Sam GelmaniD· 1 shared Sameer D’CostaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Anthony GitterORCID

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1 paper

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedSep 1, 2025

Biophysics-based protein language models for protein engineering

Sam Gelman, Bryce Johnson, Chase R. Freschlin…·Philip A. Romero

This paper introduces METL, a protein language model that integrates biophysical modeling with machine learning to predict protein properties and design functional variants.

70 citationstop 1%

protein sequencedeep learning

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