Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.
Journal:
BMC bioinformatics
PMID:
26681483
Abstract
BACKGROUND: Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learning approaches have been developed for predicting the binding affinity of protein-protein complexes based on structure and functional information. This work aims to predict the binding affinity of heterodimeric protein complexes from sequences only.