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  A new method to model membrane protein structure based on silent amino acid substitutions

Briggs, J., Torres, J., & Arkin, I. T. (2001). A new method to model membrane protein structure based on silent amino acid substitutions. Proteins: Structure, Function, and Bioinformatics, 44(3), 370-375. doi:10.1002/prot.1102.

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 Creators:
Briggs, John1, Author                 
Torres, J., Author
Arkin, I. T., Author
Affiliations:
1University of Cambridge, ou_persistent22              

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Free keywords: membrane proteins CD3-zeta glycophorin molecular dynamics proteomics molecular modeling transmembrane alpha-helices zeta-chain dimerization cell antigen receptor structure prediction homologous proteins secondary structure phospholamban sequences domain association Biochemistry & Molecular Biology Biophysics
 Abstract: The importance of accurately modeling membrane proteins cannot be overstated, in lieu of the difficulties in solving their structures experimentally. Often, however, modeling procedures (e.g., global searching molecular dynamics) generate several possible candidates rather then pointing to a single model. Herein we present a new approach to select among candidate models based on the general hypothesis that silent amino acid substitutions, present in variants identified from evolutionary conservation data or mutagenesis analysis, do not affect the stability of a native structure but may destabilize the non-native structures also found. The proof of this hypothesis has been tested on the alpha -helical transmembrane domains of two homodimers, human glycophorin A and human CD3-zeta, a component of the T-cell receptor. For both proteins, only one structure was identified using all the variants. For glycophorin A, this structure is virtually identical to the structure determined experimentally by NAM. We present a model for the transmembrane domain of CD3-zeta that is consistent with predictions based on mutagenesis, homology modeling, and the presence of a disulfide bond. Our experiments suggest that this method allows the prediction of transmembrane domain structure based only on widely available evolutionary conservation data. (C) 2001 Wiley-Liss, Inc.

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Language(s): eng - English
 Dates: 2001
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: WOS:000170121500021
DOI: 10.1002/prot.1102
ISSN: 0887-3585
 Degree: -

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Title: Proteins: Structure, Function, and Bioinformatics
Source Genre: Journal
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Publ. Info: New York, NY : John Wiley & Sons
Pages: - Volume / Issue: 44 (3) Sequence Number: - Start / End Page: 370 - 375 Identifier: ISSN: 0887-3585
CoNE: https://pure.mpg.de/cone/journals/resource/954925553393_1