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在气相和水溶液中描绘天冬氨酸的构象自由能。

Mapping the conformational free energy of aspartic acid in the gas phase and in aqueous solution.

机构信息

Department of Physics, King's College London, Strand, London WC2R 2LS, United Kingdom.

Laboratory of Computational Science and Modeling, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.

出版信息

J Chem Phys. 2017 Apr 14;146(14):145102. doi: 10.1063/1.4979519.

Abstract

The conformational free energy landscape of aspartic acid, a proteogenic amino acid involved in a wide variety of biological functions, was investigated as an example of the complexity that multiple rotatable bonds produce even in relatively simple molecules. To efficiently explore such a landscape, this molecule was studied in the neutral and zwitterionic forms, in the gas phase and in water solution, by means of molecular dynamics and the enhanced sampling method metadynamics with classical force-fields. Multi-dimensional free energy landscapes were reduced to bi-dimensional maps through the non-linear dimensionality reduction algorithm sketch-map to identify the energetically stable conformers and their interconnection paths. Quantum chemical calculations were then performed on the minimum free energy structures. Our procedure returned the low energy conformations observed experimentally in the gas phase with rotational spectroscopy [M. E. Sanz et al., Phys. Chem. Chem. Phys. 12, 3573 (2010)]. Moreover, it provided information on higher energy conformers not accessible to experiments and on the conformers in water. The comparison between different force-fields and quantum chemical data highlighted the importance of the underlying potential energy surface to accurately capture energy rankings. The combination of force-field based metadynamics, sketch-map analysis, and quantum chemical calculations was able to produce an exhaustive conformational exploration in a range of significant free energies that complements the experimental data. Similar protocols can be applied to larger peptides with complex conformational landscapes and would greatly benefit from the next generation of accurate force-fields.

摘要

天冬氨酸的构象自由能景观作为一个例子,研究了涉及广泛生物功能的蛋白质氨基酸,展示了即使在相对简单的分子中,多个旋转键也会产生的复杂性。为了有效地探索这种景观,通过分子动力学和增强采样方法元动力学以及经典力场,研究了中性和两性离子形式、气相和水溶液中的这种分子。多维自由能景观通过非线性降维算法草图映射简化为二维图谱,以识别能量稳定的构象及其连接路径。然后对最小自由能结构进行量子化学计算。我们的程序返回了气相旋转光谱实验中观察到的低能量构象[M. E. Sanz 等人,Phys. Chem. Chem. Phys. 12, 3573 (2010)]。此外,它还提供了关于实验无法获得的更高能量构象以及水中构象的信息。不同力场和量子化学数据的比较强调了潜在势能面对于准确捕获能量排序的重要性。基于力场的元动力学、草图分析和量子化学计算的组合能够在一系列重要自由能范围内进行详尽的构象探索,补充了实验数据。类似的方案可以应用于具有复杂构象景观的更大肽,并将极大地受益于下一代精确力场。

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