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The structure-fitness landscape of pairwise relations in generative sequence models

View ORCID ProfileDylan Marshall, View ORCID ProfileHaobo Wang, Michael Stiffler, Justas Dauparas, View ORCID ProfilePeter Koo, View ORCID ProfileSergey Ovchinnikov
doi: https://doi.org/10.1101/2020.11.29.402875
Dylan Marshall
1Harvard University
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Haobo Wang
1Harvard University
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Michael Stiffler
2Dyno Therapeutics
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Justas Dauparas
3University of Washington
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Peter Koo
4Cold Spring Harbor Laboratory
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Sergey Ovchinnikov
1Harvard University
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  • For correspondence: so@fas.harvard.edu
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Article Information

doi 
https://doi.org/10.1101/2020.11.29.402875
History 
  • November 30, 2020.
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. Dylan Marshall1,
  2. Haobo Wang1,
  3. Michael Stiffler2,
  4. Justas Dauparas3,
  5. Peter Koo4 and
  6. Sergey Ovchinnikov1,*
  1. 1Harvard University
  2. 2Dyno Therapeutics
  3. 3University of Washington
  4. 4Cold Spring Harbor Laboratory
  1. ↵*Correspondence email: so{at}fas.harvard.edu
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Posted November 30, 2020.
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The structure-fitness landscape of pairwise relations in generative sequence models
Dylan Marshall, Haobo Wang, Michael Stiffler, Justas Dauparas, Peter Koo, Sergey Ovchinnikov
bioRxiv 2020.11.29.402875; doi: https://doi.org/10.1101/2020.11.29.402875
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The structure-fitness landscape of pairwise relations in generative sequence models
Dylan Marshall, Haobo Wang, Michael Stiffler, Justas Dauparas, Peter Koo, Sergey Ovchinnikov
bioRxiv 2020.11.29.402875; doi: https://doi.org/10.1101/2020.11.29.402875

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