Molecular Biophysics Unit, Indian Institute of Science, Bengaluru 560012, Karnataka, India.
Wellcome Centre for Anti-Infectives Research, Drug Discovery Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DDI 5EH, UK.
Int J Mol Sci. 2021 Jun 25;22(13):6830. doi: 10.3390/ijms22136830.
Our understanding of the structure-function relationships of biomolecules and thereby applying it to drug discovery programs are substantially dependent on the availability of the structural information of ligand-protein complexes. However, the correct interpretation of the electron density of a small molecule bound to a crystal structure of a macromolecule is not trivial. Our analysis involving quality assessment of ~0.28 million small molecule-protein binding site pairs derived from crystal structures corresponding to ~66,000 PDB entries indicates that the majority (65%) of the pairs might need little (54%) or no (11%) attention. Out of the remaining 35% of pairs that need attention, 11% of the pairs (including structures with high/moderate resolution) pose serious concerns. Unfortunately, most users of crystal structures lack the training to evaluate the quality of a crystal structure against its experimental data and, in general, rely on the resolution as a 'gold standard' quality metric. Our work aims to sensitize the non-crystallographers that resolution, which is a global quality metric, need not be an accurate indicator of local structural quality. In this article, we demonstrate the use of several freely available tools that quantify local structural quality and are easy to use from a non-crystallographer's perspective. We further propose a few solutions for consideration by the scientific community to promote quality research in structural biology and applied areas.
我们对生物分子结构-功能关系的理解,以及将其应用于药物发现计划,在很大程度上取决于配体-蛋白质复合物结构信息的可用性。然而,要正确解释小分子与大分子晶体结构结合的电子密度并不是一件简单的事情。我们的分析涉及对来自约 66000 个 PDB 条目对应晶体结构的约 280 万个小分子-蛋白质结合位点对的质量评估,结果表明,大多数(65%)对可能只需要很少(54%)或不需要(11%)关注。在需要关注的其余 35%的对中,有 11%的对(包括高/中分辨率的结构)存在严重问题。不幸的是,大多数晶体结构用户缺乏评估晶体结构与其实验数据质量的训练,通常依赖分辨率作为“黄金标准”质量指标。我们的工作旨在让非晶体学家认识到,分辨率作为一种全局质量指标,不一定是局部结构质量的准确指标。在本文中,我们展示了使用几种免费提供的工具来量化局部结构质量,这些工具从非晶体学家的角度来看易于使用。我们进一步提出了一些解决方案供科学界考虑,以促进结构生物学和应用领域的高质量研究。