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Computerized modeling techniques predict the 3D structure of H4R: Facts and fiction

  • Hilal Zaid
  • , Siba Ismael-Shanak
  • , Amit Michaeli
  • , Anwar Rayan

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The functional characterization of proteins presents a daily challenge for biochemical, medical and computational sciences, especially when the structures are undetermined empirically, as in the case of the Histamine H4 Receptor (H4R). H4R is a member of the GPCR superfamily that plays a vital role in immune and inflammatory responses. To date, the concept of GPCRs modeling is highlighted in textbooks and pharmaceutical pamphlets, and this group of proteins has been the subject of almost 3500 publications in the scientific literature. The dynamic nature of determining the GPCRs structure was elucidated through elegant and creative modeling methodologies, implemented by many groups around the world. H4R which belongs to the GPCR family was cloned in 2000; understandably, its biological activity was reported only 65 times in pubmed. Here we attempt to cover the fundamental concepts of H4R structure modeling and its implementation in drug discovery, especially those that have been experimentally tested and to highlight some ideas that are currently being discussed on the dynamic nature of H4R and GPCRs computerized techniques for 3D structure modeling.

Original languageEnglish
Pages (from-to)232-247
Number of pages16
JournalFrontiers in Bioscience - Landmark
Volume17
Issue number1
DOIs
StatePublished - 1 Jan 2012
Externally publishedYes

Keywords

  • 3Dstructure prediction
  • Drug Discovery
  • G-protein coupled receptors (GPCRs)
  • Homology modeling
  • Review

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology

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