Nature Communications (Dec 2021)

DeepRank: a deep learning framework for data mining 3D protein-protein interfaces

  • Nicolas Renaud,
  • Cunliang Geng,
  • Sonja Georgievska,
  • Francesco Ambrosetti,
  • Lars Ridder,
  • Dario F. Marzella,
  • Manon F. Réau,
  • Alexandre M. J. J. Bonvin,
  • Li C. Xue

DOI
https://doi.org/10.1038/s41467-021-27396-0
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 8

Abstract

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The authors present DeepRank, a deep learning framework for the data mining of large sets of 3D protein-protein interfaces (PPI). They use DeepRank to address two challenges in structural biology: distinguishing biological versus crystallographic PPIs in crystal structures, and secondly the ranking of docking models.