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一种基于元动力学的有效方案,用于模拟G蛋白偶联受体配体的结合亲和力和过渡态系综。

An Efficient Metadynamics-Based Protocol To Model the Binding Affinity and the Transition State Ensemble of G-Protein-Coupled Receptor Ligands.

作者信息

Saleh Noureldin, Ibrahim Passainte, Saladino Giorgio, Gervasio Francesco Luigi, Clark Timothy

机构信息

Computer-Chemie-Centrum and Interdisciplinary Center for Molecular Materials Friedrich-Alexander-Universität Erlangen-Nürnberg , Nägelsbachstraße 25, 91052 Erlangen, Germany.

Department of Chemistry, University College London , London WC1H 0AJ, United Kingdom.

出版信息

J Chem Inf Model. 2017 May 22;57(5):1210-1217. doi: 10.1021/acs.jcim.6b00772. Epub 2017 May 8.

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). The RMSEs for simulations that use receptor X-ray structures and homology models are very similar.

摘要

本文描述了一种普遍适用的元动力学方案,用于预测配体与G蛋白偶联受体(GPCR)结合的自由能分布。已定义了一个通用且有效的集体变量(CV),它将理想定位且高度保守的色氨酸6.48用作测量配体与GPCR距离的参考点,并以GPCR在细胞膜中的共同取向为依据。使用这个单一的CV,结合具有漏斗状边界的回火多步行者元动力学,能够有效地探索从细胞外介质到正构结合位点的整个配体结合路径,包括前庭和中间位点。该方案可与受体的X射线结构或高质量同源模型(基于高质量模板并经过全面优化)配合使用,并且普遍适用于激动剂、拮抗剂、部分激动剂和反向激动剂。在五个受体中对12种不同配体预测结合自由能的均方根误差(RMSE)出奇地小(小于1千卡/摩尔)。使用受体X射线结构和同源模型进行模拟的RMSE非常相似。

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