Prediction of organellar targeting signals.

Biochimica et biophysica acta ·Vol. 1541 ·No. 1-2 ·2001-12-12 ·Pages 114-9

Emanuelsson O, von Heijne G

Abstract

The subcellular location of a protein is an important characteristic with functional implications, and hence the problem of predicting subcellular localization from the amino acid sequence has received a fair amount of attention from the bioinformatics community. This review attempts to summarize the present state of the art in the field.

MeSH Terms

Cell Nucleus/metabolism Chloroplasts/metabolism Mitochondria/metabolism Organelles/metabolism Plant Proteins/metabolism Protein Sorting Signals Protein Transport Signal Transduction

Chemicals

Plant Proteins Protein Sorting Signals

Authors & Affiliations

2 authors, click to expand affiliations / ORCID

Emanuelsson O

Stockholm Bioinformatics Center, Stockholm University, S-10691, Stockholm, Sweden.

von Heijne G

Article Info

Journal

Biochimica et biophysica acta

Abbr.

Biochim Biophys Acta

ISSN

0006-3002

DOI

10.1016/s0167-4889(01)00145-8

Published

2001-12-12

Pages

114-9

Language

English

Region

Netherlands

NLM ID

0217513

Subset

External Links

PubMed source DOI: 10.1016/s0167-4889(01)00145-8

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Prediction of organellar targeting signals.

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