Author

Shriram Chennakesavalu

Stanford UniversityORCID 0000-0002-4750-8923Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

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Frank HuiD· 1 shared Grant M. RotskoffiD· 1 shared Sebastian Ibarraran· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

Frank HuORCID

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1 paper

Recent·Most cited

Efficient, Few-shot Directed Evolution with Energy Rank Alignment

Sebastian Ibarraran, Shriram Chennakesavalu, Frank Hu, Grant M. Rotskoff

This paper introduces a method to improve protein engineering efficiency using pre-trained protein language models and statistical physics-based post-training to generate high fitness sequences with fewer experimental data points.

Journal of Chemical Information and Modeling · Aug 26, 2026Peer-reviewedBioengineering