Meyder Agnes, Nittinger Eva, Lange Gudrun, Klein Robert, Rarey Matthias
ZBH-Center for Bioinformatics, Universität Hamburg , Hamburg 20146, Germany.
Bayer AG , Frankfurt 65929, Germany.
J Chem Inf Model. 2017 Oct 23;57(10):2437-2447. doi: 10.1021/acs.jcim.7b00391. Epub 2017 Oct 5.
Macromolecular structures resolved by X-ray crystallography are essential for life science research. While some methods exist to automatically quantify the quality of the electron density fit, none of them is without flaws. Especially the question of how well individual parts like atoms, small fragments, or molecules are supported by electron density is difficult to quantify. While taking experimental uncertainties correctly into account, they do not offer an answer on how reliable an individual atom position is. A rapid quantification of this atomic position reliability would be highly valuable in structure-based molecular design. To overcome this limitation, we introduce the electron density score EDIA for individual atoms and molecular fragments. EDIA assesses rapidly, automatically, and intuitively the fit of individual as well as multiple atoms (EDIA) into electron density accompanied by an integrated error analysis. The computation is based on the standard 2fo - fc electron density map in combination with the model of the molecular structure. For evaluating partial structures, EDIA shows significant advantages compared to the real-space R correlation coefficient (RSCC) and the real-space difference density Z score (RSZD) from the molecular modeler's point of view. Thus, EDIA abolishes the time-consuming step of visually inspecting the electron density during structure selection and curation. It supports daily modeling tasks of medicinal and computational chemists and enables a fully automated assembly of large-scale, high-quality structure data sets. Furthermore, EDIA scores can be applied for model validation and method development in computer-aided molecular design. In contrast to measuring the deviation from the structure model by root-mean-squared deviation, EDIA scores allow comparison to the underlying experimental data taking its uncertainty into account.
通过X射线晶体学解析的大分子结构对于生命科学研究至关重要。虽然存在一些自动量化电子密度拟合质量的方法,但它们都并非完美无缺。特别是像原子、小片段或分子等单个部分由电子密度支持得有多好这个问题很难量化。在正确考虑实验不确定性的同时,它们并没有给出关于单个原子位置有多可靠的答案。在基于结构的分子设计中,快速量化这种原子位置的可靠性将非常有价值。为了克服这一局限性,我们引入了针对单个原子和分子片段的电子密度得分EDIA。EDIA能快速、自动且直观地评估单个以及多个原子(EDIA)与电子密度的拟合情况,并伴有综合误差分析。计算基于标准的2fo - fc电子密度图与分子结构模型。从分子建模者的角度来看,与实空间R相关系数(RSCC)和实空间差异密度Z得分(RSZD)相比,EDIA在评估部分结构时具有显著优势。因此,EDIA省去了在结构选择和整理过程中目视检查电子密度这一耗时的步骤。它支持药物化学家和计算化学家的日常建模任务,并能实现大规模、高质量结构数据集的全自动组装。此外,EDIA得分可用于计算机辅助分子设计中的模型验证和方法开发。与通过均方根偏差测量与结构模型的偏差不同,EDIA得分允许在考虑其不确定性的情况下与基础实验数据进行比较。