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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
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  • ORCID record for Ratul Chowdhury
Nazim Bouatta
aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
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Surojit Biswas
bDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
cNabla Bio. Inc
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Charlotte Rochereau
dIntegrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY, USA
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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
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Peter K. Sorger
aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
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  • For correspondence: peter_sorger@hms.harvard.edu sorger_admin@hms.harvard.edu ma4129@cumc.columbia.edu
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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  • For correspondence: peter_sorger@hms.harvard.edu sorger_admin@hms.harvard.edu ma4129@cumc.columbia.edu
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Article Information

doi 
https://doi.org/10.1101/2021.08.02.454840
History 
  • August 4, 2021.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Ratul Chowdhurya,*,
  2. Nazim Bouattaa,*,
  3. Surojit Biswasb,c,*,
  4. Charlotte Rochereaud,
  5. George M. Churcha,b,
  6. Peter K. Sorgera,† and
  7. Mohammed AlQuraishia,e,†
  1. aLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
  2. bDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
  3. cNabla Bio. Inc
  4. dIntegrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY, USA
  5. eDepartment of Systems Biology, Columbia University, New York, NY, USA
  1. ↵†Co-corresponding authors, Address correspondence to: Peter Sorger, Warren Alpert 432, 200 Longwood Avenue, Harvard Medical School, Boston MA 02115, peter_sorger{at}hms.harvard.edu cc: sorger_admin{at}hms.harvard.edu, Mohammed AlQuraishi, Columbia University Irving Medical Center, New York Presbyterian Hospital Building, PH-18, 201G, 622 West 168th St., New York, NY 10032, ma4129{at}cumc.columbia.edu
  1. ↵* These authors contributed equally

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Posted August 04, 2021.
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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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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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