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PMID: 8745415 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Topology prediction of membrane proteins.

Protein science : a publication of the Protein Society ·Vol. 5 ·No. 2 ·1996-02-00 ·Pages 363-71

Persson B, Argos P

Abstract

A new method is described for prediction of protein membrane topology (intra- and extracellular sidedness) from multiply aligned amino acid sequences after determination of the membrane-spanning segments. The prediction technique relies on residue compositional differences in the protein segments exposed at each side of the membrane. Intra/extracellular ratios are calculated for the residue types Asn, Asp, Gly, Phe, Pro, Trp, Tyr, and Val, preferably found on the extracellular side, and for Ala, Arg, Cys, and Lys, mostly occurring on the intracellular side. The consensus over these 12 residue distributions is used for sidedness prediction. The method was developed with a test set of 42 protein families, for which all but one were correctly predicted with the new algorithm. This represents an improvement over predictions based on the widely used "positive-inside rule" and other techniques, where at least six mispredictions were observed for the same data set. Further, application of this and other methods to 12 protein families not in the test set still showed the better performance of the present technique, which was subsequently applied to another set of membrane protein families where the topology has yet to be determined.

MeSH Terms
Algorithms Amino Acids/chemistry Membrane Proteins/chemistry Models, Molecular Protein Conformation Proteins/classification Sequence Alignment Sequence Homology, Amino Acid
Chemicals
Amino Acids Membrane Proteins Proteins
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Persson B
European Molecular Biology Laboratory, Heidelberg, Germany. [email protected]
Argos P
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33 references, click to expand
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Article Info
Journal
Protein science : a publication of the Protein Society
Abbr.
Protein Sci
ISSN
0961-8368
Published
1996-02-00
Pages
363-71
Language
English
Region
United States
NLM ID
9211750
PMCID
PMC2143341
Subset
IM
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