Title | ||
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Predictprotein-An Open Resource For Online Prediction Of Protein Structural And Functional Features |
Abstract | ||
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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 |
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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 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guy Yachdav | 1 | 115 | 10.71 |
Edda Kloppmann | 2 | 14 | 1.31 |
László Kaján | 3 | 154 | 8.53 |
Maximilian Hecht | 4 | 40 | 2.91 |
Tatyana Goldberg | 5 | 34 | 3.92 |
Tobias Hamp | 6 | 55 | 3.63 |
Peter Hönigschmid | 7 | 32 | 2.36 |
Andrea Schafferhans | 8 | 39 | 4.09 |
Manfred Roos | 9 | 30 | 1.52 |
Michael Bernhofer | 10 | 12 | 0.86 |
Lothar Richter | 11 | 12 | 0.86 |
Haim Ashkenazy | 12 | 121 | 9.51 |
Marco Punta | 13 | 1709 | 194.79 |
Avner Schlessinger | 14 | 77 | 6.49 |
Yana Bromberg | 15 | 75 | 9.13 |
Reinhard Schneider 0002 | 16 | 149 | 38.04 |
Gerrit Vriend | 17 | 12 | 0.86 |
Chris Sander | 18 | 387 | 110.73 |
Nir Ben-Tal | 19 | 474 | 42.20 |
Burkhard Rost | 20 | 795 | 88.14 |