InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-09

AUTHORS

Haidong Wang, Eran Segal, Asa Ben-Hur, Qian-Ru Li, Marc Vidal, Daphne Koller

ABSTRACT

We propose InSite, a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. We compared our predictions with binding sites in Protein Data Bank and found significantly more binding events occur at sites we predicted. Several regions containing disease-causing mutations or cancer polymorphisms in human are predicted to be binding for protein pairs related to the disease, which suggests novel mechanistic hypotheses for several diseases. More... »

PAGES

r192

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/gb-2007-8-9-r192

    DOI

    http://dx.doi.org/10.1186/gb-2007-8-9-r192

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016645198

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17868464


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