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Function-guided protein design by deep manifold sampling

View ORCID ProfileVladimir Gligorijević, Daniel Berenberg, View ORCID ProfileStephen Ra, View ORCID ProfileAndrew Watkins, Simon Kelow, Kyunghyun Cho, View ORCID ProfileRichard Bonneau
doi: https://doi.org/10.1101/2021.12.22.473759
Vladimir Gligorijević
1Prescient Design, Genentech
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  • For correspondence: gligorv1@gene.com
Daniel Berenberg
1Prescient Design, Genentech
2Department of Computer Science, Courant Institute of Mathematical Sciences, New York University
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Stephen Ra
1Prescient Design, Genentech
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Andrew Watkins
1Prescient Design, Genentech
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Simon Kelow
1Prescient Design, Genentech
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Kyunghyun Cho
1Prescient Design, Genentech
2Department of Computer Science, Courant Institute of Mathematical Sciences, New York University
3Center for Data Science, New York University
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Richard Bonneau
1Prescient Design, Genentech
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Posted December 23, 2021.
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Function-guided protein design by deep manifold sampling
Vladimir Gligorijević, Daniel Berenberg, Stephen Ra, Andrew Watkins, Simon Kelow, Kyunghyun Cho, Richard Bonneau
bioRxiv 2021.12.22.473759; doi: https://doi.org/10.1101/2021.12.22.473759
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Function-guided protein design by deep manifold sampling
Vladimir Gligorijević, Daniel Berenberg, Stephen Ra, Andrew Watkins, Simon Kelow, Kyunghyun Cho, Richard Bonneau
bioRxiv 2021.12.22.473759; doi: https://doi.org/10.1101/2021.12.22.473759

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