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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
|
pubmed:dateCreated |
1985-6-17
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pubmed:abstractText |
A statistical technique has been developed for predicting the transmembrane segments of membrane proteins from their amino acid sequences. A protein's amino acid sequence is represented by a sequence of membrane propensity values derived from the frequency of occurrence of the amino acids in a number of putative transmembrane segments. A running average over this numeric sequence yields a membrane propensity profile from which transmembrane segments may be chosen. When this method is applied to a pool of ten putative membrane proteins, the predicted intra- and extramembrane regions agree 93.6% on a residue-by-residue basis with previously suggested structures. Predictions of transmembrane segments in cytochrome c oxidase subunits I, II and III and cytochrome b from several species are given, and structural homology between species is examined using membrane propensity profiles. Conclusions are then made about the functionality of several regions in these proteins.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:chemical | |
pubmed:status |
MEDLINE
|
pubmed:month |
Apr
|
pubmed:issn |
0006-3002
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pubmed:author | |
pubmed:issnType |
Print
|
pubmed:day |
29
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pubmed:volume |
828
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
351-61
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading | |
pubmed:year |
1985
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pubmed:articleTitle |
A statistical technique for predicting membrane protein structure.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
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