ArticleProtein science : a publication of the Protein Society2003
LumenP--a neural network predictor for protein localization in the thylakoid lumen.
Article in Protein science : a publication of the Protein Society, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Understanding the undelaying mechanism of HA-subtyping in the level of physic-chemical characteristics of protein.PloS one · 2014Article
- Death-specific protein in a marine diatom regulates photosynthetic responses to iron and light availability.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Genes co-expressed with CPSAR1 identified using ATTED-II.Plant signaling & behavior · 2010Article
- Horizontal gene transfer of the algal nuclear gene psbO to the photosynthetic sea slug Elysia chlorotica.Proceedings of the National Academy of Sciences of the United States of America · 2008Article
- Chloroplast biogenesis: control of plastid development, protein import, division and inheritance.The arabidopsis book · 2008Article
- PredSL: a tool for the N-terminal sequence-based prediction of protein subcellular localization.Genomics, proteomics & bioinformatics · 2006Article
- Subcellular localization and light-regulated expression of protoporphyrinogen IX oxidase and ferrochelatase in Chlamydomonas reinhardtii.Plant physiology · 2005Article
- Prediction of beta-barrel membrane proteins by searching for restricted domains.BMC bioinformatics · 2005Article
- Analysis of curated and predicted plastid subproteomes of Arabidopsis. Subcellular compartmentalization leads to distinctive proteome properties.Plant physiology · 2004Article
- In-depth analysis of the thylakoid membrane proteome of Arabidopsis thaliana chloroplasts: new proteins, new functions, and a plastid proteome database.The Plant cell · 2004Article
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3 authors.
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Abstract
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.
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