MOTIPS: Automated Motif Analysis for Predicting Targets of Modular Protein Domains

Background: Many protein interactions, especially those involved in signaling, involve short linear motifs consisting of 5-10 amino acid residues that interact with modular protein domains such as the SH3 binding domains and the kinase catalytic domains. One straightforward way of identifying these interactions is by scanning for matches to the motif against all the sequences in a target proteome. However, predicting domain targets by motif sequence alone without considering other genomic and structural information has been shown to be lacking in accuracy. Results: We developed an efficient search algorithm to scan the target proteome for potential domain targets and to increase the accuracy of each hit by integrating a variety of pre-computed features, such as conservation, surface propensity, and disorder. The integration is performed using na

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Hugo Y. K. Lam, Philip M. Kim, Janine Mok, Raffi Tonikian, Sachdev S. Sidhu, Benjamin E. Turk, Michael Snyder, Mark B. Gerstein
• Keywords: BMCBI 2010, Domain Targets, Modular Protein, Target Proteome