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

Authors :
Yachdav G
Kloppmann E
Kajan L
Hecht M
Goldberg T
Hamp T
Hönigschmid 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
Source :
Nucleic acids research [Nucleic Acids Res] 2014 Jul; Vol. 42 (Web Server issue), pp. W337-43. Date of Electronic Publication: 2014 May 05.
Publication Year :
2014

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.<br /> (© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Details

Language :
English
ISSN :
1362-4962
Volume :
42
Issue :
Web Server issue
Database :
MEDLINE
Journal :
Nucleic acids research
Publication Type :
Academic Journal
Accession number :
24799431
Full Text :
https://doi.org/10.1093/nar/gku366