Author

Sukhvinder Kaur

ORCID 0000-0001-9308-3471Unclaimed 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· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Frances H. ArnoldiD· 2 shared Jason YangiD· 2 shared Matthew Hill· 2 shared Amin Tavakoli· 1 shared Animashree AnandkumariD· 1 shared Arvind RamanathaniD· 1 shared Gautham DharumaniD· 1 shared James C. Bowden· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

Frances H. ArnoldORCID

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2 papers

Recent·Most cited

Sequence-Based Generative AI-Guided Design of Versatile Tryptophan Synthases

Théophile Lambert, Amin Tavakoli, Gautham Dharuman, Jason Yang, Vignesh C. Bhethanabotla, Sukhvinder Kaur, Matthew Hill, Arvind Ramanathan, Animashree Anandkumar, Frances H. Arnold

This paper uses a generative AI model to design novel tryptophan synthase variants with enhanced catalytic activity and substrate promiscuity, outperforming natural and optimized versions.

bioRxiv · Aug 30, 2025 · PreprintBiochemistry

Active Learning-Assisted Directed Evolution

Jason Yang, Ravi G. Lal, James C. Bowden, Raul Astudillo, Mikhail A. Hameedi, Sukhvinder Kaur, Matthew Hill, Yisong Yue, Frances H. Arnold

This paper introduces ALDE, a machine learning-assisted directed evolution method that improves protein engineering outcomes by efficiently exploring epistatic mutation spaces.

Nature Communications · Jan 16, 2025Peer-reviewedBioengineering