engleski

Prediction of interacting protein residues using sequence and structure data.

Identifying hotspots responsible for protein interactions with other macromolecules or drugs provides insight info 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.

Random Forest, protein interactions, prediction

nije evidentirano