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本文引用的文献

1
Mapping the network of pathways of CO diffusion in myoglobin.绘制肌红蛋白中 CO 扩散途径的网络。
J Am Chem Soc. 2010 Jan 27;132(3):1010-7. doi: 10.1021/ja905671x.
2
Locally enhanced sampling study of dioxygen diffusion pathways in homoprotocatechuate 2,3-dioxygenase.高龙胆酸2,3-双加氧酶中双氧扩散途径的局部增强采样研究
J Phys Chem B. 2009 Oct 15;113(41):13596-603. doi: 10.1021/jp902597t.
3
Influence of distal residue B10 on CO dynamics in myoglobin and neuroglobin.远端残基B10对肌红蛋白和神经球蛋白中CO动力学的影响。
J Biol Phys. 2007 Dec;33(5-6):357-70. doi: 10.1007/s10867-008-9059-2. Epub 2008 Apr 5.
4
Breathing motions of a respiratory protein revealed by molecular dynamics simulations.分子动力学模拟揭示呼吸蛋白的呼吸运动
J Am Chem Soc. 2009 Aug 26;131(33):11825-32. doi: 10.1021/ja9028473.
5
Multiple pathways guide oxygen diffusion into flavoenzyme active sites.多种途径引导氧气扩散至黄素酶活性位点。
Proc Natl Acad Sci U S A. 2009 Jun 30;106(26):10603-8. doi: 10.1073/pnas.0903809106. Epub 2009 Jun 16.
6
Visualizing breathing motion of internal cavities in concert with ligand migration in myoglobin.观察肌红蛋白内部腔室的呼吸运动与配体迁移的协同情况。
Proc Natl Acad Sci U S A. 2009 Feb 24;106(8):2612-6. doi: 10.1073/pnas.0807774106. Epub 2009 Feb 9.
7
Atomic level computational identification of ligand migration pathways between solvent and binding site in myoglobin.肌红蛋白中溶剂与结合位点之间配体迁移途径的原子水平计算识别。
Proc Natl Acad Sci U S A. 2008 Jul 8;105(27):9204-9. doi: 10.1073/pnas.0710825105. Epub 2008 Jul 1.
8
Finding gas migration pathways in proteins using implicit ligand sampling.使用隐式配体采样在蛋白质中寻找气体迁移途径。
Methods Enzymol. 2008;437:439-57. doi: 10.1016/S0076-6879(07)37022-5.
9
Structural dynamics of myoglobin.肌红蛋白的结构动力学
Methods Enzymol. 2008;437:397-416. doi: 10.1016/S0076-6879(07)37020-1.
10
The kinetics of ligand migration in crystallized myoglobin as revealed by molecular dynamics simulations.分子动力学模拟揭示的结晶肌红蛋白中配体迁移的动力学
Biophys J. 2008 Jun;94(11):4277-81. doi: 10.1529/biophysj.107.124529. Epub 2008 Feb 29.

球蛋白中的配体扩散:模拟与实验的对比。

Ligand diffusion in globins: simulations versus experiment.

机构信息

Department of Chemistry and Biochemistry, Institute of Computational Engineering and Sciences (ICES), 1 University Station, ICES, C0200, The University of Texas at Austin, Austin, TX 78712, USA.

出版信息

Curr Opin Struct Biol. 2010 Apr;20(2):162-7. doi: 10.1016/j.sbi.2010.01.002. Epub 2010 Jan 29.

DOI:10.1016/j.sbi.2010.01.002
PMID:20116995
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2854186/
Abstract

Computer simulations in molecular biophysics describe in atomic detail the structure, dynamics, and function of biological macromolecules. To assess the quality of these models and to pick up new mechanisms, comparisons with experimental measurements are made. Most comparisons examine thermodynamic and average structural properties. Here we discuss studies of dynamics and fluctuations in a protein. The diffusion of a small ligand between internal cavities in myoglobin, and its escape to solvent are considered. Qualitative and semi-quantitative agreements between experiment and simulation are obtained for the identities of the cavities that physically trap the ligand and for the connections between them. However, experimental and computational 'doors' are at significant variance. Simulations suggest multiple gates while kinetic experiments point to one dominant exit.

摘要

计算机分子生物物理学模拟能够详细描述生物大分子的结构、动力学和功能。为了评估这些模型的质量并发现新的机制,我们将它们与实验测量进行比较。大多数比较都检查热力学和平均结构特性。在这里,我们讨论了蛋白质动力学和波动的研究。我们考虑了小分子配体在肌红蛋白内部腔室之间的扩散及其逃逸到溶剂中的情况。实验和模拟之间在物理上捕获配体的腔室的身份以及它们之间的连接方面得到了定性和半定量的一致。然而,实验和计算的“门”存在显著差异。模拟表明存在多个门,而动力学实验则指出只有一个主要出口。