Rigorous assessment and integration of the sequence and structure based features to predict hot spots.

ABSTRACT:

Background

Systematic mutagenesis studies have shown that only a few interface residues termed hot spots contribute significantly to the binding free energy of protein-protein interactions. Therefore, hot spots prediction becomes increasingly important for well understanding the essence of proteins interactions and helping narrow down the search space for drug design. Currently many computational methods have been developed by proposing different features. However comparative assessment of these features and furthermore effective and accurate methods are still in pressing need.

Results

In this study, we first comprehensively collect the features to discriminate hot spots and non-hot spots and analyze their distributions. We find that hot spots have lower relASA and larger re

SUBMITTER: Chen R 

PROVIDER: S-EPMC3176265 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature