Computational prediction of subcellular localization

Research output: Chapter in Book/Report/Conference proceedingChapter

32 Citations (Scopus)

Abstract

It is widely recognized that much of the information for determining the final subcellular localization of proteins is found in their amino acid sequences. Thus the prediction of protein localization sites is of both theoretical and practical interest. In most cases, the prediction has been attempted in two ways: one is based on the knowledge of experimentally characterized targeting signals, while the other utilizes the statistical differences of general sequence characteristics, such as amino acid composition, between localization sites. Both approaches have limitations, and it is recommended to check the results of various prediction methods based on different principles as well as training data. Recently, increased proteomic analyses of localization sites have provided new data to assess the current status of predictive methods. In this chapter we discuss these issues and close with an example illustrating the use of the WoLF PSORT web server for localization prediction.

Original languageEnglish
Title of host publicationProtein Targeting Protocols, Second Edition
Pages429-466
Number of pages38
DOIs
Publication statusPublished - 2007 May 21

Publication series

NameMethods in Molecular Biology
Volume390
ISSN (Print)1064-3745

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

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