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ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network

Wendy M Billings, Bryce Hedelius, Todd Millecam, David Wingate, View ORCID ProfileDennis Della Corte
doi: https://doi.org/10.1101/830273
Wendy M Billings
1Department of Physics and Astronomy, Brigham Young University, Utah
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Bryce Hedelius
1Department of Physics and Astronomy, Brigham Young University, Utah
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Todd Millecam
1Department of Physics and Astronomy, Brigham Young University, Utah
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David Wingate
2Department of Computer Science, Brigham Young University, Utah
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Dennis Della Corte
1Department of Physics and Astronomy, Brigham Young University, Utah
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  • ORCID record for Dennis Della Corte
  • For correspondence: dennis.dellacorte@byu.edu
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Abstract

Deep neural networks have recently enabled spectacular progress in predicting protein structures, as demonstrated by DeepMind’s winning entry with Alphafold at the latest Critical Assessment of Structure Prediction competition (CASP13). The best protein prediction pipeline leverages intermolecular distance predictions to assemble a final protein model, but this distance prediction network has not been published. Here, we make a trained implementation of this network available to the broader scientific community. We also benchmark its predictive power in the related task of contact prediction against the CASP13 contact prediction winner TripletRes. Access to ProSPr will enable other labs to build on best in class protein distance predictions and to engineer superior protein reconstruction methods.

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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 4.0 International license.
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Posted November 04, 2019.
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ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network
Wendy M Billings, Bryce Hedelius, Todd Millecam, David Wingate, Dennis Della Corte
bioRxiv 830273; doi: https://doi.org/10.1101/830273
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ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network
Wendy M Billings, Bryce Hedelius, Todd Millecam, David Wingate, Dennis Della Corte
bioRxiv 830273; doi: https://doi.org/10.1101/830273

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