Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2003-3-21
pubmed:abstractText
In the postgenomic era, the transformation of genetic information into biochemical meaning is required. We have analyzed the proteome of the chloroplast outer envelope membrane by an in silico and a proteomic approach. Based on its evolutionary relation to the outer membrane of Gram-negative bacteria, the outer envelope membrane should contain a large number of beta-barrel proteins. We therefore calculated the probability for the existence of beta-sheet, beta-barrel, and hairpin structures among all proteins of the Arabidopsis thaliana genome. According to the existence of these structures, a number of candidates were selected. This protein pool was analyzed by TargetP to discard sequences with signals that would direct the protein to other organelles different from chloroplasts. In addition, the pool was manually controlled for the presence of proteins known to function outside of the chloroplast envelope. The approach developed here can be used to predict the topology of beta-barrel proteins. For the proteomic approach, proteins of highly purified outer envelope membranes of chloroplasts from Pisum sativum were analyzed by ESI-MS/MS mass spectrometry. In addition to the known components, four new proteins of the outer envelope membranes were identified in this study.
pubmed:commentsCorrections
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pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0961-8368
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
748-59
pubmed:dateRevised
2010-9-14
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Prediction of the plant beta-barrel proteome: a case study of the chloroplast outer envelope.
pubmed:affiliation
Botanisches Institut der Ludwig-Maximilian Universität München, 80368 München, Germany. schleiff@botanik.biologie.uni-muenchen.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't