Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
European Journal of Pharmacology 2006-Feb

F200A substitution in the third transmembrane helix of human cannabinoid CB1 receptor converts AM2233 from receptor agonist to inverse agonist.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Chun-Pyn Shen
Jing Chen Xiao
Helen Armstrong
William Hagmann
Tung M Fong

Palavras-chave

Resumo

To investigate how specific amino acid residues affect human cannabinoid CB1 receptor binding and activation, CHO cell lines stably expressing wild type and the phenylalanine 200 to alanine mutant of human cannabinoid CB1 receptor (F200A) were examined. AM2233 functions as an agonist at the wild type receptor (EC50=0.93 nM), but behaves as an inverse agonist at F200A (EC50=4.8 nM). The F200A mutant has significantly lower forskolin-stimulated basal cAMP accumulation than that of the wild type, indicating that the F200A mutant possesses higher constitutive activity. F200 doesn't contribute substantially to the high affinity binding of AM2233 at human cannabinoid CB1 receptor. CP55940, HU-210 and Win55212-2 still function as agonists at the F200A mutant, with similar efficacy, potency, and apparent binding affinity for both wild type human cannabinoid CB1 receptor and F200A mutant. These data indicate that the phenylalanine 200 residue in human cannabinoid CB1 receptor is involved in the receptor activation induced by a specific class of agonists, and supports a model of agonist-structure-dependent conformational changes.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge