Predicting protein-protein interactions through sequence-based deep learning

Somaye Hashemifar, Behnam Neyshabur, Aly A. Khan, Jinbo Xu

Abstract: High-throughput experimental techniques have produced a large amount of protein–protein interaction (PPI) data, but their coverage is still low and the PPI data is also very noisy. Computational prediction of PPIs can be used to discover new PPIs and identify errors in the experimental PPI data.