PredictProtein--an open resource for online prediction of protein structural and functional features
Publication year
2014Source
Nucleic Acids Research, 42, Web Server issue, (2014), pp. W337-43ISSN
Publication type
Article / Letter to editor

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Organization
CMBI
Journal title
Nucleic Acids Research
Volume
vol. 42
Issue
iss. Web Server issue
Page start
p. W337
Page end
p. 43
Subject
Radboudumc 19: Nanomedicine RIMLS: Radboud Institute for Molecular Life SciencesAbstract
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.
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- Academic publications [202801]
- Electronic publications [100942]
- Faculty of Medical Sciences [80020]
- Open Access publications [69657]
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