Prediction of Interacting Protein Residues Using Sequence and Structure Data
互联网
316
Identifying hotspots responsible for protein interactions with other macromolecules or drugs provides insight into functional aspects of the protein network, and is a pivotal task in systems biology and drug discovery. Here, we present the protocol for the application of a machine-learning method – Random Forest – to prediction of interacting residues in proteins, based on either the structural parameters or the primary sequence alone.
