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

TitlePredictProtein--an open resource for online prediction of protein structural and functional features.
Publication TypeJournal Article
Year of Publication2014
AuthorsYachdav, G, Kloppmann, E, Kaján, 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
JournalNucleic Acids Res
IssueWeb Server issue
Date Published2014 Jul
KeywordsAmino Acid Substitution, Binding Sites, Gene Ontology, Internet, Intrinsically Disordered Proteins, Membrane Proteins, Mutation, Protein Conformation, Protein Interaction Mapping, Proteins, Sequence Alignment, Sequence Analysis, Protein, Sequence Homology, Amino Acid, Software

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

Alternate JournalNucleic Acids Res.
PubMed ID24799431
PubMed Central IDPMC4086098
Grant ListU54 GM095315 / GM / NIGMS NIH HHS / United States