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Language models generalize beyond natural proteins

Robert Verkuil, Ori Kabeli, Yilun Du, Basile I. M. Wicky, Lukas F. Milles, Justas Dauparas, David Baker, Sergey Ovchinnikov, Tom Sercu, Alexander Rives
doi: https://doi.org/10.1101/2022.12.21.521521
Robert Verkuil
1Meta Fundamental AI Research Protein Team (FAIR)
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Ori Kabeli
1Meta Fundamental AI Research Protein Team (FAIR)
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Yilun Du
1Meta Fundamental AI Research Protein Team (FAIR)
2Massachusetts Institute of Technology. Work performed as visiting researcher at Meta FAIR
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Basile I. M. Wicky
3Department of Biochemistry, University of Washington, Seattle, WA, USA
4Institute for Protein Design, University of Washington, Seattle, WA, USA
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Lukas F. Milles
3Department of Biochemistry, University of Washington, Seattle, WA, USA
4Institute for Protein Design, University of Washington, Seattle, WA, USA
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Justas Dauparas
3Department of Biochemistry, University of Washington, Seattle, WA, USA
4Institute for Protein Design, University of Washington, Seattle, WA, USA
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David Baker
3Department of Biochemistry, University of Washington, Seattle, WA, USA
4Institute for Protein Design, University of Washington, Seattle, WA, USA
5Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
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Sergey Ovchinnikov
6John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA, USA
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Tom Sercu
1Meta Fundamental AI Research Protein Team (FAIR)
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Alexander Rives
1Meta Fundamental AI Research Protein Team (FAIR)
7New York University
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  • For correspondence: arives@meta.com
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Posted December 22, 2022.
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Language models generalize beyond natural proteins
Robert Verkuil, Ori Kabeli, Yilun Du, Basile I. M. Wicky, Lukas F. Milles, Justas Dauparas, David Baker, Sergey Ovchinnikov, Tom Sercu, Alexander Rives
bioRxiv 2022.12.21.521521; doi: https://doi.org/10.1101/2022.12.21.521521
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Language models generalize beyond natural proteins
Robert Verkuil, Ori Kabeli, Yilun Du, Basile I. M. Wicky, Lukas F. Milles, Justas Dauparas, David Baker, Sergey Ovchinnikov, Tom Sercu, Alexander Rives
bioRxiv 2022.12.21.521521; doi: https://doi.org/10.1101/2022.12.21.521521

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