Betel, Doron E Breitkreuz, Kevin Isserlin, Ruth Dewar-Darch, Danielle Tyers, Mike W. V Hogue, Christopher Outline of D-MIST Method for Predicting Protein Interactions by Learned Binding Profiles <div><p>Identification of domain-binding profiles begins by extracting the short sequence motifs from structural complexes that contain the domain of interest.</p><p>(A) In this example, RhoGAP-interacting motifs are extracted from two structural complexes (PDB ID 1AM4, 1TX4) where RhoGAP is bound to small G proteins.</p><p>(B) Protein interactions containing the RhoGAP domain were collected from four databases to form the learning set for the Gibbs sampling to generate the binding profiles (shown here as sequence logos [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.0030182#pcbi-0030182-b057" target="_blank">57</a>]). The sampling step is biased towards motifs that are similar to those found in the structural dataset.</p><p>(C) The resulting PSSMs are used to predict interactions for proteins with RhoGAP domains, such as the human ARHGAP1. A subset of the predicted interactions is subsequently tested by two experimental methods.</p></div> d-mist;predicting;interactions;learned;binding 2007-09-21
    https://plos.figshare.com/articles/figure/_Outline_of_D_MIST_Method_for_Predicting_Protein_Interactions_by_Learned_Binding_Profiles_/615084
10.1371/journal.pcbi.0030182.g001