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LumenP - a neural network predictor for protein localization in the thylakoid lumen
Stockholms universitet.ORCID iD: 0000-0002-8879-9245
2003 (English)In: Protein Science, ISSN 0961-8368, Vol. 12, no 10, 2360-2366 p.Article in journal (Refereed) Published
Abstract [en]

We report the development of LumenP, a new neural network-based predictor for the identification of proteins targeted to the thylakoid lumen of plant chloroplasts and prediction of their cleavage sites. When used together with the previously developed TargetP predictor, LumenP reaches a significantly better performance than what has been recorded for previous attempts at predicting thylakoid lumen location, mostly due to a lower false positive rate. The combination of TargetP and LumenP predicts around 1.5%-3% of all proteins encoded in the genomes of Arabidopsis thaliana and Oryza sativa to be located in the lumen of the thylakoid.

Place, publisher, year, edition, pages
2003. Vol. 12, no 10, 2360-2366 p.
National Category
Bioinformatics and Systems Biology
URN: urn:nbn:se:kth:diva-50443DOI: 10.1110/ps.0306003ISI: 000185425500025PubMedID: 14500894OAI: diva2:461896
QC 20111207Available from: 2011-12-05 Created: 2011-12-05 Last updated: 2011-12-07Bibliographically approved

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Von Heijne, GunnarEmanuelsson, Olof
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