PredictProtein-an open resource for online prediction of protein structural and functional features Journal Article


Authors: Yachdav, G.; Kloppmann, E.; Kajan, L.; Hecht, M.; Goldberg, T.; Hamp, T.; Honigschmid, P.; Schafferhans, A.; Roos, M.; Bernhofer, M.; Richter, L.; Ashkenazy, H.; Punta, M.; Schlessinger, A.; Bromberg, Y.; Schneider, R.; Vriend, G.; Sander, C.; Ben-Tal, N.; Rost, B.
Article Title: PredictProtein-an open resource for online prediction of protein structural and functional features
Abstract: PredictProtein is a meta-service for sequence analysis that has been predicting structural and functional features of proteins since 1992. Queried with a protein sequence it returns: multiple sequence alignments, predicted aspects of structure (secondary structure, solvent accessibility, transmembrane helices (TMSEG) and strands, coiled-coil regions, disulfide bonds and disordered regions) and function. The service incorporates analysis methods for the identification of functional regions (ConSurf), homology-based inference of Gene Ontology terms (metastudent), comprehensive subcellular localization prediction (LocTree3), protein-protein binding sites (ISIS2), protein-polynucleotide binding sites (SomeNA) and predictions of the effect of point mutations (non-synonymous SNPs) on protein function (SNAP2). Our goal has always been to develop a system optimized to meet the demands of experimentalists not highly experienced in bioinformatics. To this end, the PredictProtein results are presented as both text and a series of intuitive, interactive and visually appealing figures. The web server and sources are available at http://ppopen.rostlab.org.
Keywords: sequence; evolution; secondary structure; localization; database; information; polymorphisms; unstructured regions; data-bank; web server
Journal Title: Nucleic Acids Research
Volume: 42
Issue: W1
ISSN: 0305-1048
Publisher: Oxford University Press  
Date Published: 2014-07-01
Start Page: W337
End Page: W343
Language: English
ACCESSION: WOS:000339715000056
DOI: 10.1093/nar/gku366
PROVIDER: wos
PUBMED: 24799431
PMCID: PMC4086098
Notes: Article -- Source: Wos
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  1. Chris Sander
    210 Sander