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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
Payman Yadollahpour
2Genentech Research and Early Development, Genentech
Andrew Watkins
1Prescient Design, Genentech
Nathan C. Frey
1Prescient Design, Genentech
Andrew Leaver-Fay
1Prescient Design, Genentech
Stephen Ra
1Prescient Design, Genentech
Kyunghyun Cho
1Prescient Design, Genentech
3Department of Computer Science, Courant Institute of Mathematical Sciences, New York University
4Center for Data Science, New York University
Vladimir Gligorijevic
1Prescient Design, Genentech
Aviv Regev
2Genentech Research and Early Development, Genentech
Richard Bonneau
1Prescient Design, Genentech

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Posted October 08, 2022.
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
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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