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基于NOE数据的环状RGD拟肽的热力学加权构象系综

Thermodynamically-Weighted Conformational Ensemble of Cyclic RGD Peptidomimetics from NOE Data.

作者信息

Vasile F, Civera M, Belvisi L, Potenza D, Tiana G

机构信息

Department of Chemistry, Università degli Studi di Milano , via Golgi 19, 20133 Milano, Italy.

Center of Complexity and Biosystems and Department of Physics, Università degli Studi di Milano and INFN , via Celoria 16, 20133 Milano, Italy.

出版信息

J Phys Chem B. 2016 Jul 28;120(29):7098-107. doi: 10.1021/acs.jpcb.6b04941. Epub 2016 Jul 15.

Abstract

In the case of flexible molecules, the standard approach of transforming NOE intensities into spatial restraints and of building conformational models minimizing these restraints greatly neglects the richness of molecular conformations. Making use of NOE intensities measured in triplicate and of an iterative molecular-dynamics scheme, we optimized a force field to generate a set of conformations whose ensemble is compatible with the experimental data, and is weighted according to the Boltzmann distribution. This scheme is applied to two cyclic peptidomimetic ligands of integrins. Their difference in binding affinity is recapitulated in terms of their difference in conformational fluctuations.

摘要

对于柔性分子,将核Overhauser效应(NOE)强度转化为空间约束以及构建使这些约束最小化的构象模型的标准方法,极大地忽略了分子构象的丰富性。利用一式三份测量的NOE强度和迭代分子动力学方案,我们优化了一个力场,以生成一组构象,其整体与实验数据兼容,并根据玻尔兹曼分布进行加权。该方案应用于整合素的两种环肽模拟配体。它们在结合亲和力上的差异根据其构象波动的差异得以重现。

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