Author

Amin Tavakoli

California Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Animashree AnandkumariD· 1 shared Arvind RamanathaniD· 1 shared Frances H. ArnoldiD· 1 shared Gautham DharumaniD· 1 shared Jason YangiD· 1 shared Matthew Hill· 1 shared Sukhvinder KauriD· 1 shared Théophile LambertiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

Animashree AnandkumarORCID

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1 paper

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