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Cited by 595

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

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

Open access
Yachdav, Guy, Kloppmann, Edda, Kajan, Laszlo, Hecht, Maximilian, Goldberg, Tatyana, Hamp, Tobias, Hönigschmid, Peter, Schafferhans, Andrea, Roos, Manfred, Bernhofer, Michael, Richter, Lothar, Ashkenazy, Haim, Punta, Marco, Schlessinger, Avner, Bromberg, Yana, Schneider, Reinhard, Vriend, Gerrit, Sander, Chris, Ben-Tal, Nir, Rost, Burkhard·2014·Nucleic Acids Research

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.

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Crossref · 10.1093/nar/gku366

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Metadata

Authors
Yachdav, G., Kloppmann, E., Kajan, 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.
Venue
Nucleic Acids Research
Published
2014-05-05
Volume
42
Issue
W1
Pages
W337-W343
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2154479185
Cited by
595
References
6
FWCI
23.00
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: PredictProtein—an open resource for online prediction of protein structural and functional features. https://app.cochat.ai/papers/10.1093/nar/gku366
The paper
Yachdav, G., Kloppmann, E., Kajan, 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. (2014). PredictProtein—an open resource for online prediction of protein structural and functional features. Nucleic Acids Research. https://doi.org/10.1093/nar/gku366

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.