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Universal Activation Index for Class A GPCRs.
Ibrahim, Passainte; Wifling, David; Clark, Timothy.
Afiliación
  • Ibrahim P; Computer-Chemie-Centrum, Department of Chemistry and Pharmacy , Friedrich-Alexander University Erlangen-Nürnberg , Nägelsbachstrasse 25 , 91052 Erlangen , Germany.
  • Wifling D; Pharmaceutical/Medicinal Chemistry II, Institute of Pharmacy , University of Regensburg , Universitätsstrasse 31 , D-93040 Regensburg , Germany.
  • Clark T; Computer-Chemie-Centrum, Department of Chemistry and Pharmacy , Friedrich-Alexander University Erlangen-Nürnberg , Nägelsbachstrasse 25 , 91052 Erlangen , Germany.
J Chem Inf Model ; 59(9): 3938-3945, 2019 09 23.
Article en En | MEDLINE | ID: mdl-31448910
An index of the activation of Class A G-protein-coupled receptors (GPCRs) has been trained using interhelix distances from a series of microsecond molecular-dynamics simulations and tested for 268 published X-ray structures. In a three-class model that includes intermediate structures, 63% of the active structures are classified in agreement with the experimental assignment, 81% of the intermediate structures, and 89% of the inactives. An alternative two-state model classifies 94% of the actives and 99% of the inactives correctly. The intermediate structures are distributed 2:1 between actives and inactives. X-ray structures with protein nanobodies give good agreement between the assigned activation state and the predictions of the model, whereby many active nanobody structures are predicted to be weakly active. The five interhelix Cα-Cα distances that occur in the model relate clearly to the established activation mechanism. The model is available as a Python script or via an interactive web page. It can thus be used to classify both experimental and computational GPCR structures.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Moleculares / Receptores Acoplados a Proteínas G Tipo de estudio: Prognostic_studies Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Moleculares / Receptores Acoplados a Proteínas G Tipo de estudio: Prognostic_studies Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos