Computational prediction of subcellular localization

研究成果: Chapter

31 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Protein Targeting Protocols, Second Edition
頁面429-466
頁數38
DOIs
出版狀態Published - 2007 五月 21

出版系列

名字Methods in Molecular Biology
390
ISSN(列印)1064-3745

    指紋

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

引用此

Nakai, K., & Paul, B. H. I. (2007). Computational prediction of subcellular localization. 於 Protein Targeting Protocols, Second Edition (頁 429-466). (Methods in Molecular Biology; 卷 390). https://doi.org/10.1385/1-59745-466-4:429