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An Efficient Metadynamics-Based Protocol To Model the Binding Affinity and the Transition State Ensemble of G-Protein-Coupled Receptor Ligands.
Saleh, Noureldin; Ibrahim, Passainte; Saladino, Giorgio; Gervasio, Francesco Luigi; Clark, Timothy.
Afiliação
  • Saleh N; Computer-Chemie-Centrum and Interdisciplinary Center for Molecular Materials Friedrich-Alexander-Universität Erlangen-Nürnberg , Nägelsbachstraße 25, 91052 Erlangen, Germany.
  • Ibrahim P; Computer-Chemie-Centrum and Interdisciplinary Center for Molecular Materials Friedrich-Alexander-Universität Erlangen-Nürnberg , Nägelsbachstraße 25, 91052 Erlangen, Germany.
  • Saladino G; Department of Chemistry, University College London , London WC1H 0AJ, United Kingdom.
  • Gervasio FL; Department of Chemistry, University College London , London WC1H 0AJ, United Kingdom.
  • Clark T; Institute of Structural and Molecular Biology, University College London , London WC1E 6BT, United Kingdom.
J Chem Inf Model ; 57(5): 1210-1217, 2017 05 22.
Article em En | MEDLINE | ID: mdl-28453271
ABSTRACT
A generally applicable metadynamics scheme for predicting the free energy profile of ligand binding to G-protein-coupled receptors (GPCRs) is described. A common and effective collective variable (CV) has been defined using the ideally placed and highly conserved Trp6.48 as a reference point for ligand-GPCR distance measurement and the common orientation of GPCRs in the cell membrane. Using this single CV together with well-tempered multiple-walker metadynamics with a funnel-like boundary allows an efficient exploration of the entire ligand binding path from the extracellular medium to the orthosteric binding site, including vestibule and intermediate sites. The protocol can be used with X-ray structures or high-quality homology models (based on a high-quality template and after thorough refinement) for the receptor and is universally applicable to agonists, antagonists, and partial and reverse agonists. The root-mean-square error (RMSE) in predicted binding free energies for 12 diverse ligands in five receptors (a total of 23 data points) is surprisingly small (less than 1 kcal mol-1). The RMSEs for simulations that use receptor X-ray structures and homology models are very similar.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptores Acoplados a Proteínas G / Simulação de Dinâmica Molecular / Modelos Químicos Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptores Acoplados a Proteínas G / Simulação de Dinâmica Molecular / Modelos Químicos Idioma: En Ano de publicação: 2017 Tipo de documento: Article