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Inferring protein domain interactions from databases of interacting proteins
Authors:Robert?Riley,Christopher?Lee,Chiara?Sabatti,David?Eisenberg  author-information"  >  author-information__contact u-icon-before"  >  mailto:david@mbi.ucla.edu"   title="  david@mbi.ucla.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA 90095, USA;(2) Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA 90095, USA;(3) Howard Hughes Medical Institute, University of California Los Angeles, Los Angeles, CA 90095, USA
Abstract:We describe domain pair exclusion analysis (DPEA), a method for inferring domain interactions from databases of interacting proteins. DPEA features a log odds score, Eij, reflecting confidence that domains i and j interact. We analyzed 177,233 potential domain interactions underlying 26,032 protein interactions. In total, 3,005 high-confidence domain interactions were inferred, and were evaluated using known domain interactions in the Protein Data Bank. DPEA may prove useful in guiding experiment-based discovery of previously unrecognized domain interactions.
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