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

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W337-43. doi: 10.1093/nar/gku366. Epub 2014 May 5.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acid Substitution
  • Binding Sites
  • Gene Ontology
  • Internet
  • Intrinsically Disordered Proteins / chemistry
  • Membrane Proteins / chemistry
  • Mutation
  • Protein Conformation*
  • Protein Interaction Mapping
  • Proteins / analysis
  • Proteins / genetics
  • Proteins / metabolism
  • Sequence Alignment
  • Sequence Analysis, Protein
  • Sequence Homology, Amino Acid
  • Software*

Substances

  • Intrinsically Disordered Proteins
  • Membrane Proteins
  • Proteins