Prediction of N-terminal protein sorting signals

Curr Opin Struct Biol. 1997 Jun;7(3):394-8. doi: 10.1016/s0959-440x(97)80057-7.

Abstract

Recently, neural networks have been applied to a widening range of problems in molecular biology. An area particularly suited to neural-network methods is the identification of protein sorting signals and the prediction of their cleavage sites, as these functional units are encoded by local, linear sequences of amino acids rather than global 3D structures.

Publication types

  • Review

MeSH terms

  • Chloroplasts / metabolism
  • Forecasting
  • Mitochondria / metabolism
  • Models, Biological
  • Neural Networks, Computer*
  • Peptide Fragments / chemistry
  • Peptide Fragments / metabolism
  • Protein Sorting Signals*
  • Proteins / chemistry*
  • Proteins / metabolism*

Substances

  • Peptide Fragments
  • Protein Sorting Signals
  • Proteins