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.
Year
DOI
Venue
2014
10.1093/nar/gku366
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
internet,mutation,membrane proteins,sequence alignment,protein conformation,binding sites,proteins
Sequence alignment,Transmembrane domain,Protein sequencing,Biology,Intrinsically disordered proteins,Genetics,Molecular biology,Protein secondary structure,Peptide sequence,Sequence analysis,Protein structure
Journal
Volume
Issue
ISSN
42
W1
0305-1048
Citations 
PageRank 
References 
12
0.86
32
Authors
20