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Single-sequence protein structure prediction using language models from deep learning
View ORCID ProfileRatul Chowdhury, View ORCID ProfileNazim Bouatta, View ORCID ProfileSurojit Biswas, Charlotte Rochereau, View ORCID ProfileGeorge M. Church, View ORCID ProfilePeter K. Sorger, View ORCID ProfileMohammed AlQuraishi
doi: https://doi.org/10.1101/2021.08.02.454840
Ratul Chowdhury
aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
Nazim Bouatta
aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
Surojit Biswas
bDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
cNabla Bio. Inc
Charlotte Rochereau
dIntegrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY, USA
George M. Church
aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
bDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
Peter K. Sorger
aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
Mohammed AlQuraishi
aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
eDepartment of Systems Biology, Columbia University, New York, NY, USA

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Posted August 04, 2021.
Single-sequence protein structure prediction using language models from deep learning
Ratul Chowdhury, Nazim Bouatta, Surojit Biswas, Charlotte Rochereau, George M. Church, Peter K. Sorger, Mohammed AlQuraishi
bioRxiv 2021.08.02.454840; doi: https://doi.org/10.1101/2021.08.02.454840
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