Large-scale design and refinement of stable proteins using sequence-only models.

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Bibliographic Details
Title: Large-scale design and refinement of stable proteins using sequence-only models.
Authors: Singer JM; Two Six Technologies, Arlington, Virginia, United States of America., Novotney S; Two Six Technologies, Arlington, Virginia, United States of America., Strickland D; Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, United States of America., Haddox HK; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Leiby N; Two Six Technologies, Arlington, Virginia, United States of America., Rocklin GJ; Department of Pharmacology and Center for Synthetic Biology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America., Chow CM; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Roy A; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Bera AK; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Motta FC; Department of Mathematical Sciences, Florida Atlantic University, Boca Raton, Florida, United States of America., Cao L; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Strauch EM; Department of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, Georgia, United States of America., Chidyausiku TM; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Ford A; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Ho E; Texas Advanced Computing Center, Austin, Texas, United States of America., Zaitzeff A; Two Six Technologies, Arlington, Virginia, United States of America., Mackenzie CO; Quantitative Biomedical Sciences Graduate Program, Dartmouth College, Hanover, New Hampshire, United States of America., Eramian H; Netrias, Cambridge, Massachusetts, United States of America., DiMaio F; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Grigoryan G; Departments of Computer Science and Biological Sciences, Dartmouth College, Hanover, New Hampshire, United States of America., Vaughn M; Texas Advanced Computing Center, Austin, Texas, United States of America., Stewart LJ; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Baker D; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington, United States of America., Klavins E; Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, United States of America.
Source: PloS one [PLoS One] 2022 Mar 14; Vol. 17 (3), pp. e0265020. Date of Electronic Publication: 2022 Mar 14 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0265020