RAPPPID: towards generalizable protein interaction prediction with AWD-LSTM twin networks.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Computational methods for the prediction of protein-protein interactions (PPIs), while important tools for researchers, are plagued by challenges in generalizing to unseen proteins. Datasets used for modelling protein-protein predictions are particularly predisposed to information leakage and sampling biases.

Authors

  • Joseph Szymborski
    Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0G4, Canada.
  • Amin Emad
    Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0G4, Canada.