Homology modeling of GPCRs

John Simms, Nathan E Hall, Polo H C Lam, Laurence J Miller, Arthur Christopoulos, Ruben Abagyan, Patrick M Sexton

Research output: Chapter in Book/Report/Conference proceedingChapter

11 Citations (Scopus)

Abstract

Over 1,000 sequences likely to encode G protein-coupled receptors (GPCRs) are currently available in publicly accessible and proprietary databases and this number may grow with the refinement of a number of different genomes. However, despite recent efforts in the crystallization of these proteins, homology modeling approaches are becoming widely used as a method for obtaining quantitative and qualitative information for structure-based drug design as well as the interpretation of experimental data.

Original languageEnglish
Title of host publicationG Protein-Coupled Receptors in Drug Discovery
Subtitle of host publicationMethods and protocols
EditorsWayne R. Leifert
PublisherHumana Press
Pages97-113
Number of pages17
ISBN (Electronic)9781603273176
ISBN (Print)9781603273169
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume552

Keywords

  • Amino Acid Sequence
  • Computational Biology
  • Databases, Protein
  • Humans
  • Models, Molecular
  • Molecular Sequence Data
  • Receptors, Adrenergic, beta-2
  • Receptors, G-Protein-Coupled
  • Sequence Alignment
  • Sequence Analysis, Protein
  • Sequence Homology, Amino Acid
  • Journal Article

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  • Cite this

    Simms, J., Hall, N. E., Lam, P. H. C., Miller, L. J., Christopoulos, A., Abagyan, R., & Sexton, P. M. (2009). Homology modeling of GPCRs. In W. R. Leifert (Ed.), G Protein-Coupled Receptors in Drug Discovery: Methods and protocols (pp. 97-113). (Methods in Molecular Biology; Vol. 552). Humana Press. https://doi.org/10.1007/978-1-60327-317-6_7