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

DSpace/Manakin Repository

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

Citable link to this page

 

 
Title: InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale
Author: Wang, Haidong; Segal, Eran; Ben-Hur, Asa; Li, Qian-Ru; Koller, Daphne; Vidal, Marc

Note: Order does not necessarily reflect citation order of authors.

Citation: Wang, Haidong, Eran Segal, Asa Ben-Hur, Qian-Ru Li, Marc Vidal, and Daphne Koller. 2007. InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale. Genome Biology 8(9): R192.
Full Text & Related Files:
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.
Published Version: doi:10.1186/gb-2007-8-9-r192
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375030/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4879188
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters