Journal article
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
A neural network-based tool, TargetP, for large-scale subcellular location prediction of newly identified proteins has been developed. Using N-terminal sequence information only, it discriminates between proteins destined for the mitochondrion, the chloroplast, the secretory pathway, and "other" localizations with a success rate of 85% (plant) or 90% (non-plant) on redundancy-reduced test sets.
From a TargetP analysis of the recently sequenced Arabidopsis thaliana chromosomes 2 and 4 and the Ensembl Homo sapiens protein set, we estimate that 10% of all plant proteins are mitochondrial and 14% chloroplastic, and that the abundance of secretory proteins, in both Arabidopsis and Homo, is around 10%.
TargetP also predicts cleavage sites with levels of correctly predicted sites ranging from approximately 40% to 50% (chloroplastic and mitochondrial presequences) to above 70% (secretory signal peptides). TargetP is available as a web-server at http://www.cbs.dtu.dk/services/TargetP/.
| Language: | English |
|---|---|
| Year: | 2000 |
| Pages: | 1005-1016 |
| ISSN: | 10898638 and 00222836 |
| Types: | Journal article |
| DOI: | 10.1006/jmbi.2000.3903 |
| ORCIDs: | Nielsen, Henrik |
Amino Acid Sequence Arabidopsis Biological Transport Chloroplasts Cytoplasm Databases, Factual Humans Internet Mitochondria Molecular Sequence Data Neural Networks, Computer Nuclear Proteins Plant Proteins Protein Processing, Post-Translational Protein Sorting Signals Proteins Reproducibility of Results Sensitivity and Specificity Software cleavage sites genome annotation neural networks protein sorting targeting sequences
