Computer, Computational and Statistical Sciences Division, Los Alamos, NM, United States; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.
Computer, Computational and Statistical Sciences Division, Los Alamos, NM, United States.
Methods Enzymol. 2023;688:87-114. doi: 10.1016/bs.mie.2023.06.008. Epub 2023 Aug 17.
Molecular-dynamics (MD) simulations of protein crystals enable the prediction of structural and dynamical features of both the protein and the solvent components of macromolecular crystals, which can be validated against diffraction data from X-ray crystallographic experiments. The simulations have been useful for studying and predicting both Bragg and diffuse scattering in protein crystallography; however, the preparation is not yet automated and includes choices and tradeoffs that can impact the results. Here we examine some of the intricacies and consequences of the choices involved in setting up MD simulations of protein crystals for the study of diffraction data, and provide a recipe for preparing the simulations, packaged in an accompanying Jupyter notebook. This article and the accompanying notebook are intended to serve as practical resources for researchers wishing to put these models to work.
蛋白质晶体的分子动力学(MD)模拟可以预测蛋白质和大分子晶体中溶剂成分的结构和动力学特征,这些预测可以通过 X 射线晶体学实验的衍射数据进行验证。这些模拟对于研究和预测蛋白质晶体学中的布拉格和漫散射都非常有用;然而,目前还没有实现自动化,并且包括的选择和权衡可能会影响结果。在这里,我们研究了为研究衍射数据而设置蛋白质晶体 MD 模拟时所涉及的一些复杂性和选择的后果,并提供了一个准备模拟的配方,包装在一个附带的 Jupyter 笔记本中。本文和附带的笔记本旨在为希望使用这些模型的研究人员提供实用资源。