Standard Article

Signal peptides and protein localization prediction

Part 4. Bioinformatics

4.3. Protein Function and Annotation

Basic Techniques and Approaches

  1. Henrik Nielsen

Published Online: 15 NOV 2005

DOI: 10.1002/047001153X.g403409

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

How to Cite

Nielsen, H. 2005. Signal peptides and protein localization prediction. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 4:4.3:37.

Author Information

  1. The Technical University of Denmark, Center for Biological Sequence Analysis, Lyngby, Denmark

Publication History

  1. Published Online: 15 NOV 2005

Abstract

Proteins have signals that direct their localization in the cell. The best known of these signals is the secretory signal peptide. Prediction of protein localization from the amino acid sequence is done by two approaches: either by recognizing the signals themselves or by using global properties, such as amino acid composition, of the protein. A number of machine-learning methods using both these approaches are implemented as publicly available servers, and a brief presentation of these methods is given here.

Keywords:

  • signal peptides;
  • target peptides;
  • transit peptides;
  • subcellular localization;
  • protein localization;
  • protein sorting;
  • prediction;
  • machine learning