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黎明再临:肽的体验。

Twilight reloaded: the peptide experience.

机构信息

k.k. Hofkristallamt, 991 Audrey Place, Vista, CA 92084, USA.

Department of Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

出版信息

Acta Crystallogr D Struct Biol. 2017 Mar 1;73(Pt 3):211-222. doi: 10.1107/S205979831601620X. Epub 2017 Feb 28.

Abstract

The de facto commoditization of biomolecular crystallography as a result of almost disruptive instrumentation automation and continuing improvement of software allows any sensibly trained structural biologist to conduct crystallographic studies of biomolecules with reasonably valid outcomes: that is, models based on properly interpreted electron density. Robust validation has led to major mistakes in the protein part of structure models becoming rare, but some depositions of protein-peptide complex structure models, which generally carry significant interest to the scientific community, still contain erroneous models of the bound peptide ligand. Here, the protein small-molecule ligand validation tool Twilight is updated to include peptide ligands. (i) The primary technical reasons and potential human factors leading to problems in ligand structure models are presented; (ii) a new method used to score peptide-ligand models is presented; (iii) a few instructive and specific examples, including an electron-density-based analysis of peptide-ligand structures that do not contain any ligands, are discussed in detail; (iv) means to avoid such mistakes and the implications for database integrity are discussed and (v) some suggestions as to how journal editors could help to expunge errors from the Protein Data Bank are provided.

摘要

由于几乎具有颠覆性的仪器自动化和软件的持续改进,生物分子晶体学事实上已经商品化,这使得任何有合理训练的结构生物学家都能够进行生物分子的晶体学研究,并得到合理有效的结果:也就是说,基于适当解释的电子密度的模型。稳健的验证导致结构模型中蛋白质部分的重大错误变得罕见,但一些蛋白质-肽复合物结构模型的沉积,通常对科学界有重要意义,仍然包含结合肽配体的错误模型。在这里,更新了 Twilight 蛋白小分子配体验证工具,以包括肽配体。(i) 提出了导致配体结构模型出现问题的主要技术原因和潜在人为因素;(ii) 提出了一种新的肽配体模型评分方法;(iii) 详细讨论了一些有启发性和具体的例子,包括基于电子密度的不含任何配体的肽配体结构的分析;(iv) 讨论了避免此类错误的方法以及对数据库完整性的影响;(v) 就期刊编辑如何帮助从蛋白质数据库中删除错误提供了一些建议。

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