Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine and Department of Chemistry and Chemical Biology , Rutgers University , Piscataway , New Jersey 08854 , United States.
J Phys Chem B. 2019 Jun 6;123(22):4611-4624. doi: 10.1021/acs.jpcb.8b11923. Epub 2019 May 3.
Crystal simulations provide useful tools, along with solution simulations, to test nucleic acid force fields, but should be interpreted with care owing to the difficulty of establishing the environmental conditions needed to reproduce experimental crystal packing. These challenges underscore the need to construct proper protocols for carrying out crystal simulations and analyzing results to identify the origin of deviations from crystallographic data. Toward this end, we introduce a novel framework for B-factor decomposition into additive intramolecular, rotational, and translational atomic fluctuation components and partitioning of each of these components into individual asymmetric unit and lattice contributions. We apply the framework to a benchmark set of A-DNA, Z-DNA, and B-DNA double helix systems of various chain lengths. Overall, the intramolecular deviations from the crystal were quite small (≤1.0 Å), suggesting high accuracy of the force field, whereas crystal packing was not well reproduced. The present work establishes a framework to conduct and analyze crystal simulations that ultimately take on issues of crystal packing and can provide insight into nucleic acid force fields.
晶体模拟提供了有用的工具,与溶液模拟一起,可以用来测试核酸力场,但由于难以建立重现实验晶体堆积所需的环境条件,因此需要谨慎解释。这些挑战突显了构建进行晶体模拟和分析结果以确定偏离晶体数据的原因的适当协议的必要性。为此,我们引入了一种将 B 因子分解为附加的分子内、旋转和平移原子波动分量的新框架,并将这些分量中的每一个分为单个不对称单元和晶格贡献。我们将该框架应用于各种链长的 A-DNA、Z-DNA 和 B-DNA 双螺旋系统的基准集。总体而言,晶体中分子内的偏差很小(≤1.0 Å),表明力场的准确性很高,而晶体堆积则没有很好地重现。本工作建立了一个进行和分析晶体模拟的框架,最终解决晶体堆积问题,并为核酸力场提供深入了解。