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Model validation: local diagnosis, correction and when to quit.模型验证:局部诊断、修正和何时停止。
Acta Crystallogr D Struct Biol. 2018 Feb 1;74(Pt 2):132-142. doi: 10.1107/S2059798317009834.
2
UCSF ChimeraX: Meeting modern challenges in visualization and analysis.加州大学旧金山分校的ChimeraX:应对可视化与分析中的现代挑战。
Protein Sci. 2018 Jan;27(1):14-25. doi: 10.1002/pro.3235. Epub 2017 Sep 6.
3
Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive.蛋白质数据库(PDB):单一的全球大分子结构存档库。
Methods Mol Biol. 2017;1607:627-641. doi: 10.1007/978-1-4939-7000-1_26.
4
Molprobity's ultimate rotamer-library distributions for model validation.用于模型验证的Molprobity最终旋转异构体库分布。
Proteins. 2016 Sep;84(9):1177-89. doi: 10.1002/prot.25039. Epub 2016 Jun 23.
5
Computational Methods for RNA Structure Validation and Improvement.RNA结构验证与改进的计算方法
Methods Enzymol. 2015;558:181-212. doi: 10.1016/bs.mie.2015.01.007. Epub 2015 Apr 2.
6
NGL Viewer: a web application for molecular visualization.NGL Viewer:一款用于分子可视化的网络应用程序。
Nucleic Acids Res. 2015 Jul 1;43(W1):W576-9. doi: 10.1093/nar/gkv402. Epub 2015 Apr 29.
7
The rate of cis-trans conformation errors is increasing in low-resolution crystal structures.在低分辨率晶体结构中,顺反构象错误率正在上升。
Acta Crystallogr D Biol Crystallogr. 2015 Mar;71(Pt 3):706-9. doi: 10.1107/S1399004715000826. Epub 2015 Feb 26.
8
New tools provide a second look at HDV ribozyme structure, dynamics and cleavage.新工具让我们得以重新审视丁型肝炎病毒核酶的结构、动力学及切割过程。
Nucleic Acids Res. 2014 Nov 10;42(20):12833-46. doi: 10.1093/nar/gku992. Epub 2014 Oct 17.
9
Conformation-dependent backbone geometry restraints set a new standard for protein crystallographic refinement.依赖于构象的主链几何约束为蛋白质晶体学精修设定了新的标准。
FEBS J. 2014 Sep;281(18):4061-71. doi: 10.1111/febs.12860. Epub 2014 Jun 17.
10
Proton transfer reactions and hydrogen-bond networks in protein environments.质子转移反应和蛋白质环境中的氢键网络。
J R Soc Interface. 2013 Nov 27;11(91):20130518. doi: 10.1098/rsif.2013.0518. Print 2014 Feb 6.

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.

DOI:10.1002/pro.3330
PMID:29067766
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5734394/
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。