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MolProbity:用于改进全原子结构验证的更多更好的参考数据。

MolProbity: More and better reference data for improved all-atom structure validation.

作者信息

Williams Christopher J, Headd Jeffrey J, Moriarty Nigel W, Prisant Michael G, Videau Lizbeth L, Deis Lindsay N, Verma Vishal, Keedy Daniel A, Hintze Bradley J, Chen Vincent B, Jain Swati, Lewis Steven M, Arendall W Bryan, Snoeyink Jack, Adams Paul D, Lovell Simon C, Richardson Jane S, Richardson David C

机构信息

Department of Biochemistry, Duke University, Durham, NC, 27710, USA.

Molecular Biosciences and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.

出版信息

Protein Sci. 2018 Jan;27(1):293-315. doi: 10.1002/pro.3330. Epub 2017 Nov 27.

Abstract

This paper describes the current update on macromolecular model validation services that are provided at the MolProbity website, emphasizing changes and additions since the previous review in 2010. There have been many infrastructure improvements, including rewrite of previous Java utilities to now use existing or newly written Python utilities in the open-source CCTBX portion of the Phenix software system. This improves long-term maintainability and enhances the thorough integration of MolProbity-style validation within Phenix. There is now a complete MolProbity mirror site at http://molprobity.manchester.ac.uk. GitHub serves our open-source code, reference datasets, and the resulting multi-dimensional distributions that define most validation criteria. Coordinate output after Asn/Gln/His "flip" correction is now more idealized, since the post-refinement step has apparently often been skipped in the past. Two distinct sets of heavy-atom-to-hydrogen distances and accompanying van der Waals radii have been researched and improved in accuracy, one for the electron-cloud-center positions suitable for X-ray crystallography and one for nuclear positions. New validations include messages at input about problem-causing format irregularities, updates of Ramachandran and rotamer criteria from the million quality-filtered residues in a new reference dataset, the CaBLAM Cα-CO virtual-angle analysis of backbone and secondary structure for cryoEM or low-resolution X-ray, and flagging of the very rare cis-nonProline and twisted peptides which have recently been greatly overused. Due to wide application of MolProbity validation and corrections by the research community, in Phenix, and at the worldwide Protein Data Bank, newly deposited structures have continued to improve greatly as measured by MolProbity's unique all-atom clashscore.

摘要

本文介绍了MolProbity网站提供的大分子模型验证服务的当前更新情况,重点强调自2010年上次综述以来的变化和新增内容。有许多基础设施方面的改进,包括将以前的Java实用程序重写为现在在Phenix软件系统的开源CCTBX部分中使用现有的或新编写的Python实用程序。这提高了长期可维护性,并增强了MolProbity风格验证在Phenix中的全面集成。现在在http://molprobity.manchester.ac.uk有一个完整的MolProbity镜像网站。GitHub托管我们的开源代码、参考数据集以及定义大多数验证标准的多维分布结果。在Asn/Gln/His“翻转”校正后的坐标输出现在更加理想化,因为过去显然经常跳过精修后步骤。已经研究并提高了两组不同的重原子到氢的距离以及相应的范德华半径的准确性,一组适用于X射线晶体学的电子云中心位置,另一组适用于核位置。新的验证包括在输入时关于导致问题格式不规则的消息、来自新参考数据集中百万个经过质量过滤的残基的Ramachandran和旋转异构体标准的更新、用于冷冻电镜或低分辨率X射线的主链和二级结构的CaBLAM Cα-CO虚拟角分析,以及标记最近被过度使用的非常罕见的顺式非脯氨酸和扭曲肽。由于研究界、Phenix以及全球蛋白质数据库广泛应用MolProbity验证和校正,通过MolProbity独特的全原子冲突分数衡量,新存入的结构持续大幅改进。

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