Mikhailovskii Oleg, Xue Yi, Skrynnikov Nikolai R
Laboratory of Biomolecular NMR, St Petersburg State University, St Petersburg 199034, Russian Federation.
Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA.
IUCrJ. 2021 Dec 16;9(Pt 1):114-133. doi: 10.1107/S2052252521011891. eCollection 2022 Jan 1.
A procedure has been developed for the refinement of crystallographic protein structures based on the biomolecular simulation program . The procedure constructs a model representing a crystal unit cell, which generally contains multiple protein molecules and is fully hydrated with TIP3P water. Periodic boundary conditions are applied to the cell in order to emulate the crystal lattice. The refinement is conducted in the form of a specially designed short molecular-dynamics run controlled by the Amber ff14SB force field and the maximum-likelihood potential that encodes the structure-factor-based restraints. The new -based refinement procedure has been tested on a set of 84 protein structures. In most cases, the new procedure led to appreciably lower values compared with those reported in the original PDB depositions or obtained by means of the industry-standard program. In particular, the new method has the edge in refining low-accuracy scrambled models. It has also been successful in refining a number of molecular-replacement models, including one with an r.m.s.d. of 2.15 Å. In addition, -refined structures consistently show superior scores. The new approach offers a highly realistic representation of protein-protein interactions in the crystal, as well as of protein-water interactions. It also offers a realistic representation of protein crystal dynamics (akin to ensemble-refinement schemes). Importantly, the method fully utilizes the information from the available diffraction data, while relying on state-of-the-art molecular-dynamics modeling to assist with those elements of the structure that do not diffract well (for example mobile loops or side chains). Finally, it should be noted that the protocol employs no tunable parameters, and the calculations can be conducted in a matter of several hours on desktop computers equipped with graphical processing units or using a designated web service.
基于生物分子模拟程序,已开发出一种用于优化晶体学蛋白质结构的方法。该方法构建了一个代表晶体晶胞的模型,晶胞通常包含多个蛋白质分子,并由TIP3P水完全水化。对晶胞应用周期性边界条件以模拟晶格。优化以一种特殊设计的短分子动力学运行形式进行,该运行由Amber ff14SB力场和编码基于结构因子约束的最大似然势控制。基于新方法的优化程序已在一组84个蛋白质结构上进行了测试。在大多数情况下,与原始PDB沉积中报告的值或通过行业标准程序获得的值相比,新程序导致明显更低的[具体指标]值。特别是,新方法在优化低精度混乱模型方面具有优势。它还成功地优化了许多分子置换模型,包括一个均方根偏差为2.15 Å的模型。此外,经新方法优化的结构始终显示出更高的[具体指标]分数。新方法提供了晶体中蛋白质 - 蛋白质相互作用以及蛋白质 - 水相互作用的高度真实表示。它还提供了蛋白质晶体动力学的真实表示(类似于系综优化方案)。重要的是,该方法充分利用了可用衍射数据中的信息,同时依靠最先进的分子动力学建模来辅助处理那些衍射效果不佳的结构元素(例如移动环或侧链)。最后,应该注意的是,该协议不使用可调参数,并且在配备图形处理单元的台式计算机上或使用指定的网络服务,计算可以在几个小时内完成。