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Q|R:基于量子的精修。

Q|R: quantum-based refinement.

作者信息

Zheng Min, Reimers Jeffrey R, Waller Mark P, Afonine Pavel V

机构信息

Department of Physics and International Centre for Quantum and Molecular Structures, Shanghai University, Shanghai, 200444, People's Republic of China.

出版信息

Acta Crystallogr D Struct Biol. 2017 Jan 1;73(Pt 1):45-52. doi: 10.1107/S2059798316019847.

DOI:10.1107/S2059798316019847
PMID:28045384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5331472/
Abstract

Quantum-based refinement utilizes chemical restraints derived from quantum-chemical methods instead of the standard parameterized library-based restraints used in refinement packages. The motivation is twofold: firstly, the restraints have the potential to be more accurate, and secondly, the restraints can be more easily applied to new molecules such as drugs or novel cofactors. Here, a new project called Q|R aimed at developing quantum-based refinement of biomacromolecules is under active development by researchers at Shanghai University together with PHENIX developers. The central focus of this long-term project is to develop software that is built on top of open-source components. A development version of Q|R was used to compare quantum-based refinements with standard refinement using a small model system.

摘要

基于量子的精修利用从量子化学方法衍生而来的化学约束,而非精修软件包中使用的基于标准参数化库的约束。其动机有两方面:其一,这些约束有可能更准确;其二,这些约束能够更轻松地应用于新分子,如药物或新型辅因子。在此,上海大学的研究人员与PHENIX开发者正在积极开展一个名为Q|R的新项目,旨在开发基于量子的生物大分子精修方法。这个长期项目的核心重点是开发基于开源组件构建的软件。使用Q|R的一个开发版本,通过一个小型模型系统将基于量子的精修与标准精修进行了比较。

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本文引用的文献

1
XModeScore: a novel method for accurate protonation/tautomer-state determination using quantum-mechanically driven macromolecular X-ray crystallographic refinement.XModeScore:一种使用量子力学驱动的大分子X射线晶体学精修来准确确定质子化/互变异构体状态的新方法。
Acta Crystallogr D Struct Biol. 2016 Apr;72(Pt 4):586-98. doi: 10.1107/S2059798316002837. Epub 2016 Mar 30.
2
Quantum Chemistry on Graphical Processing Units. 3. Analytical Energy Gradients, Geometry Optimization, and First Principles Molecular Dynamics.图形处理单元上的量子化学。3. 解析能量梯度、几何优化和第一性原理分子动力学。
J Chem Theory Comput. 2009 Oct 13;5(10):2619-28. doi: 10.1021/ct9003004. Epub 2009 Aug 25.
3
Benchmarking Semiempirical Methods for Thermochemistry, Kinetics, and Noncovalent Interactions: OMx Methods Are Almost As Accurate and Robust As DFT-GGA Methods for Organic Molecules.热化学、动力学和非共价相互作用的半经验方法基准测试:对于有机分子,OMx方法几乎与DFT-GGA方法一样准确和稳健。
J Chem Theory Comput. 2011 Sep 13;7(9):2929-36. doi: 10.1021/ct200434a. Epub 2011 Aug 16.
4
Efficient Methods for the Quantum Chemical Treatment of Protein Structures: The Effects of London-Dispersion and Basis-Set Incompleteness on Peptide and Water-Cluster Geometries.蛋白质结构量子化学处理的高效方法:伦敦色散和基组不完备性对肽和水簇几何结构的影响
J Chem Theory Comput. 2013 Jul 9;9(7):3240-51. doi: 10.1021/ct400321m. Epub 2013 Jun 14.
5
Programming new geometry restraints: parallelity of atomic groups.编写新的几何约束:原子基团的平行性。
J Appl Crystallogr. 2015 Jul 8;48(Pt 4):1130-1141. doi: 10.1107/S1600576715010432. eCollection 2015 Aug 1.
6
Protein structure refinement by optimization.通过优化进行蛋白质结构细化。
Proteins. 2015 Sep;83(9):1616-24. doi: 10.1002/prot.24846. Epub 2015 Jul 21.
7
Single-Particle Cryo-EM at Crystallographic Resolution.达到晶体学分辨率的单颗粒冷冻电镜技术。
Cell. 2015 Apr 23;161(3):450-457. doi: 10.1016/j.cell.2015.03.049.
8
How cryo-EM is revolutionizing structural biology.冷冻电镜如何引发结构生物学的革命。
Trends Biochem Sci. 2015 Jan;40(1):49-57. doi: 10.1016/j.tibs.2014.10.005. Epub 2014 Nov 7.
9
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J Phys Chem B. 2014 Dec 18;118(50):14612-26. doi: 10.1021/jp510148h. Epub 2014 Dec 3.
10
Accurate macromolecular crystallographic refinement: incorporation of the linear scaling, semiempirical quantum-mechanics program DivCon into the PHENIX refinement package.精确的大分子晶体学精修:将线性缩放半经验量子力学程序DivCon纳入PHENIX精修软件包。
Acta Crystallogr D Biol Crystallogr. 2014 May;70(Pt 5):1233-47. doi: 10.1107/S1399004714002260. Epub 2014 Apr 26.