Struct2Net: a web service to predict protein–protein interactions using a structure-based approach
Author(s)Singh, Rohit; Park, Daniel Kyu; Xu, Jinbo; Hosur, Raghavendra; Berger, Bonnie
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Struct2Net is a web server for predicting interactions between arbitrary protein pairs using a structure-based approach. Prediction of protein–protein interactions (PPIs) is a central area of interest and successful prediction would provide leads for experiments and drug design; however, the experimental coverage of the PPI interactome remains inadequate. We believe that Struct2Net is the first community-wide resource to provide structure-based PPI predictions that go beyond homology modeling. Also, most web-resources for predicting PPIs currently rely on functional genomic data (e.g. GO annotation, gene expression, cellular localization, etc.). Our structure-based approach is independent of such methods and only requires the sequence information of the proteins being queried. The web service allows multiple querying options, aimed at maximizing flexibility. For the most commonly studied organisms (fly, human and yeast), predictions have been pre-computed and can be retrieved almost instantaneously. For proteins from other species, users have the option of getting a quick-but-approximate result (using orthology over pre-computed results) or having a full-blown computation performed. The web service is freely available at http://struct2net.csail.mit.edu.
DepartmentMassachusetts Institute of Technology. Computational and Systems Biology Program; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Department of Materials Science and Engineering; Massachusetts Institute of Technology. Department of Mathematics
Nucleic Acids Research
Oxford University Press
Singh, R. et al. “Struct2Net: a Web Service to Predict Protein-protein Interactions Using a Structure-based Approach.” Nucleic Acids Research 38.Web Server (2010): W508–W515. Web.
Final published version