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

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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 α-helical transmembrane domains of two homodimers, human glycophorin A and human CD3-ζ, 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 NMR. We present a model for the transmembrane domain of CD3-ζ 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. © 2001 Wiley-Liss, Inc.
Original languageEnglish
Pages (from-to)370-375
JournalProteins: Structure, Function and Genetics
Volume44
Issue number3
DOIs
Publication statusPublished - 15 Aug 2001
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • CD3-ζ
  • Glycophorin
  • Membrane proteins
  • Molecular dynamics
  • Molecular modeling
  • Proteomics

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