Ontology highlight
ABSTRACT:
SUBMITTER: Melo R
PROVIDER: S-EPMC5000613 | biostudies-literature | 2016 Jul
REPOSITORIES: biostudies-literature
International journal of molecular sciences 20160727 8
Understanding protein-protein interactions is a key challenge in biochemistry. In this work, we describe a more accurate methodology to predict Hot-Spots (HS) in protein-protein interfaces from their native complex structure compared to previous published Machine Learning (ML) techniques. Our model is trained on a large number of complexes and on a significantly larger number of different structural- and evolutionary sequence-based features. In particular, we added interface size, type of intera ...[more]