Predicting residue–residue contacts using random forest models

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Predicting Residue-Residue Contacts and Helix-Helix Interactions in Transmembrane Proteins Using an Integrative Feature-Based Random Forest Approach

Integral membrane proteins constitute 25-30% of genomes and play crucial roles in many biological processes. However, less than 1% of membrane protein structures are in the Protein Data Bank. In this context, it is important to develop reliable computational methods for predicting the structures of membrane proteins. Here, we present the first application of random forest (RF) for residue-resid...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2011

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btr579