Author

Ori Kabeli

ORCID 0000-0002-4153-2463Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 3 Research Focus:protein design· 2 Assay:protein sequence· 2 Assay:protein structure· 2 Approach:experimental assay· 1 Approach:large language model· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander W. RivesiD· 3 shared Tom SercuiD· 3 shared Brian HieiD· 2 shared Nikita Smetanin· 2 shared Robert VerkuiliD· 2 shared Roshan RaoiD· 2 shared Salvatore CandidoiD· 2 shared Zeming LiniD· 2 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersSynthetic Biology

Alexander W. RivesORCID

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3 papers

Recent·Most cited

Evolutionary-scale prediction of atomic level protein structure with a language model

Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu, Nikita Smetanin, Robert Verkuil, Ori Kabeli, Yaniv Shmueli, Allan dos Santos Costa, Maryam Fazel-Zarandi, Tom Sercu, Salvatore Candido, Alexander W. Rives

Protein language models scaled to 15B parameters predict atomic-resolution structures from sequence up to 60x faster than the state of the art, producing over 617 million metagenomic structures.

Science · Mar 16, 2023Peer-reviewedSynthetic Biology

A high-level programming language for generative protein design

Brian Hie, Salvatore Candido, Zeming Lin, Ori Kabeli, Roshan Rao, Nikita Smetanin, Tom Sercu, Alexander W. Rives

A modular high-level programming language paired with an energy-based protein language model generates de novo all-atom protein sequences and structures satisfying user-specified geometric, secondary structure, symmetry, and multimerization constraints.

bioRxiv · Dec 21, 2022 · PreprintSynthetic Biology

Language models generalize beyond natural proteins

Robert Verkuil, Ori Kabeli, Yilun Du, Basile I. M. Wicky, Lukas F. Milles, Justas Dauparas, David A. Baker, Sergey Ovchinnikov, Tom Sercu, Alexander W. Rives

A sequence-only protein language model, sampled under a structure-compatibility energy, produced designs of which 152 of 228 tested behaved as soluble monomers, some with no detectable UniRef90 match.

bioRxiv · Dec 21, 2022 · PreprintSynthetic Biology✦ In-depth digest