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Chloroplast Transit Peptide Prediction
Chloroplast Transit Peptide Prediction
| Titel: | Chloroplast Transit Peptide Prediction |
| Titel Kurzform: | ChloroP |
| Identifier: | http://www.cbs.dtu.dk/services/ChloroP/ |
| Autor: | Emanuelsson, Olof; Nielsen, Henrik; vonHeijne, Gunnar |
| Veröffentlicht durch: |
Technical University of Denmark |
| Zusammenfassung: |
We present a neural network based method (ChloroP) for identifying chloroplast transit peptides and their cleavage sites. Using cross-validation, 88% of the sequences in our homology reduced training set were correctly classified as transit peptides or nontransit peptides. This performance level is well above that of the so far only publicly available chloroplast localization predictor PSORT. Cleavage sites are predicted using a scoring matrix derived by an automatic motif-finding algorithm. Approximately 60% of the known cleavage sites in our sequence collection were predicted to within +- 2 residues from the cleavage sites given in SWISS-PROT. An analysis of 715 A. thaliana sequences from SWISS-PROT suggests that the ChloroP method should be useful for the identification of putative transit peptides in genome-wide sequence data. [Information of the supplier] Sequenzmotivvorhersage |
| Thema: |
Zellbiologie (571.6); DNS (Desoxyribonukleinsäure) (572.86) » finde ähnliche Quellen! |
| Zielgruppe: | Experten |
| Sprache: | Englisch |
| Format: | Website |
| Ressourcentyp: | Thematische Websites |
| Zugang: | frei |
| Letzte Änderung des Metadatensatzes: | 17.08.2011 |
| Metadatenlieferant: |
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| URL dieses vifabio-Datensatzes: | http://www.vifabio.de/iqfBio/detail/1386 |
| © Virtuelle Fachbibliothek Biologie (vifabio) | |