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EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation

Jae Hyeon Lee, Payman Yadollahpour, Andrew Watkins, Nathan C. Frey, Andrew Leaver-Fay, Stephen Ra, Kyunghyun Cho, Vladimir Gligorijevic, Aviv Regev, Richard Bonneau
doi: https://doi.org/10.1101/2022.10.07.511322
Jae Hyeon Lee
1Prescient Design, Genentech
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  • For correspondence: lee.jae-hyeon@gene.com
Payman Yadollahpour
2Genentech Research and Early Development, Genentech
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Andrew Watkins
1Prescient Design, Genentech
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Nathan C. Frey
1Prescient Design, Genentech
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Andrew Leaver-Fay
1Prescient Design, Genentech
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Stephen Ra
1Prescient Design, Genentech
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Kyunghyun Cho
1Prescient Design, Genentech
3Department of Computer Science, Courant Institute of Mathematical Sciences, New York University
4Center for Data Science, New York University
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Vladimir Gligorijevic
1Prescient Design, Genentech
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Aviv Regev
2Genentech Research and Early Development, Genentech
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Richard Bonneau
1Prescient Design, Genentech
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Article usage: October 2022 to March 2023

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Posted October 08, 2022.
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EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation
Jae Hyeon Lee, Payman Yadollahpour, Andrew Watkins, Nathan C. Frey, Andrew Leaver-Fay, Stephen Ra, Kyunghyun Cho, Vladimir Gligorijevic, Aviv Regev, Richard Bonneau
bioRxiv 2022.10.07.511322; doi: https://doi.org/10.1101/2022.10.07.511322
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EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation
Jae Hyeon Lee, Payman Yadollahpour, Andrew Watkins, Nathan C. Frey, Andrew Leaver-Fay, Stephen Ra, Kyunghyun Cho, Vladimir Gligorijevic, Aviv Regev, Richard Bonneau
bioRxiv 2022.10.07.511322; doi: https://doi.org/10.1101/2022.10.07.511322

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