Structural bioinformatics prediction of membrane-binding proteins.

ABSTRACT: Membrane-binding peripheral proteins play important roles in many biological processes, including cell signaling and membrane trafficking. Unlike integral membrane proteins, these proteins bind the membrane mostly in a reversible manner. Since peripheral proteins do not have canonical transmembrane segments, it is difficult to identify them from their amino acid sequences. As a first step toward genome-scale identification of membrane-binding peripheral proteins, we built a kernel-based machine learning protocol. Key features of known membrane-binding proteins, including electrostatic properties and amino acid composition, were calculated from their amino acid sequences and tertiary structures, which were then incorporated into the support vector machine to perform the classification. A da

SUBMITTER: Bhardwaj N 

PROVIDER: S-EPMC2707359 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature