Paper Info
Title
Struct2net: A Web Service To Predict Protein-Protein Interactions Using A Structure-Based Approach
Abstract
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.
Year
DOI
Venue
2010
10.1093/nar/gkq481
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
web service,protein conformation,algorithms,internet,protein protein interaction
Annotation,Protein–protein interaction,Interactome,Biology,Computational biology,Bioinformatics,Genetics,Web service,Homology modeling,Web server,Protein structure,The Internet
Journal
Volume
Issue
ISSN
38
Web Server issue
0305-1048
Citations 
PageRank 
References 
13
0.60
23
Authors
5
Name
Order
Citations
PageRank
Rohit Singh157021.99
Daniel Park2501.93
Xu, Jinbo388866.00
Raghavendra Hosur4211.84
Bonnie Berger51643165.84