InterProScan: protein domains identifier. InterProScan [E. M. Zdobnov and R. Apweiler (2001) Bioinformatics, 17, 847–848] is a tool that combines different protein signature recognition methods from the InterPro [N. J. Mulder, R. Apweiler, T. K. Attwood, A. Bairoch, A. Bateman, D. Binns, P. Bradley, P. Bork, P. Bucher, L. Cerutti et al. (2005) Nucleic Acids Res., 33, D201–D205] consortium member databases into one resource. At the time of writing there are 10 distinct publicly available databases in the application. Protein as well as DNA sequences can be analysed. A web-based version is accessible for academic and commercial organizations from the EBI ( In addition, a standalone Perl version and a SOAP Web Service [J. Snell, D. Tidwell and P. Kulchenko (2001) Programming Web Services with SOAP, 1st edn. O’Reilly Publishers, Sebastopol, CA,] are also available to the users. Various output formats are supported and include text tables, XML documents, as well as various graphs to help interpret the results.

References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Tanwer, Pooja; Kolora, Sree Rohit Raj; Babbar, Anshu; Saluja, Daman; Chaudhry, Uma: Identification of potential therapeutic targets in \textitNeisseriagonorrhoeae by an \textitin-silico approach (2020)
  2. Keith, Jonathan M. (ed.): Bioinformatics. Volume I. Data, sequence analysis, and evolution (2017)
  3. Axelson-Fisk, Marina: Comparative gene finding. Models, algorithms and implementation (2015)
  4. Wan, Shibiao; Mak, Man-Wai; Kung, Sun-Yuan: GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou’s pseudo-amino acid composition (2013)
  5. Mei, S.; Wang, F.; Zhou, S.: Gene ontology based transfer learning for protein subcellular localization (2011) ioport
  6. Chen, Chuming; McGarvey, Peter B.; Huang, Hongzhan; Wu, Cathy H.: Protein bioinformatics infrastructure for the integration and analysis of multiple high-throughput “omics” data (2010) ioport
  7. Schietgat, Leander; Vens, Celine; Struyf, Jan; Blockeel, Hendrik; Kocev, Dragi; Dzeroski, Saso: Predicting gene function using hierarchical multi-label decision tree ensembles (2010) ioport
  8. Warren, Andrew S.; Archuleta, Jeremy S.; Feng, Wu-Chun; Setubal, João Carlos: Missing genes in the annotation of prokaryotic genomes (2010) ioport
  9. Blum, Torsten; Briesemeister, Sebastian; Kohlbacher, Oliver: Multiloc2: integrating phylogeny and gene ontology terms improves subcellular protein localization prediction (2009) ioport
  10. Denton, Anne M.; Wu, Jianfei: Data mining of vector-item patterns using neighborhood histograms (2009) ioport
  11. Rendon, Gloria; Ger, Mao-Feng; Kantorovitz, Ruth; Natarajan, Shreedhar; Tilson, Jeffrey; Jakobsson, Eric: Understanding the “horizontal dimension” of molecular evolution to annotate, classify, and discover proteins with functional domains (2009) ioport
  12. Tedder, Philip M. R.; Bradford, James R.; Needham, Chris J.; Mcconkey, Glenn A.; Bulpitt, Andrew J.; Westhead, David R.: Bayesian data integration and enrichment analysis for predicting gene function in malaria (2009)
  13. Zeng, Jia; Alhajj, Reda; Demetrick, Douglas J.: Representative transcript sets for evaluating a translational initiation sites predictor (2009) ioport
  14. Dogruel, Mutlu; Down, Thomas A.; Hubbard, Tim J. P.: Nestedmica as an ab initio protein motif discovery tool (2008) ioport
  15. Chen, Feng-Chi; Chuang, Trees-Juen: The effects of multiple features of alternatively spliced exons on the K A /K sratio test (2006) ioport
  16. Cheng, Jianlin; Sweredoski, Michael J.; Baldi, Pierre: DOMpro: protein domain prediction using profiles, secondary structure, relative solvent accessibility, and recursive neural networks (2006) ioport
  17. Quevillon, Emmanuel; Silventoinen, Ville; Pillai, Sharmila; Harte, Nicola; Mulder, Nicola J.; Apweiler, Rolf; Lopez, Rodrigo: Interproscan: Protein domains identifier. (2005) ioport