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一种源自gp41的肽的折叠分子动力学模拟协调不同的结构测定结果。

Folding Molecular Dynamics Simulation of a gp41-Derived Peptide Reconcile Divergent Structure Determinations.

作者信息

Georgoulia Panagiota S, Glykos Nicholas M

机构信息

Department of Molecular Biology and Genetics, Democritus University of Thrace, University Campus, Alexandroupolis 68100, Greece.

出版信息

ACS Omega. 2018 Nov 2;3(11):14746-14754. doi: 10.1021/acsomega.8b01579. eCollection 2018 Nov 30.

DOI:10.1021/acsomega.8b01579
PMID:31458149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6643504/
Abstract

T-20 peptide is the first FDA-approved fusion inhibitor against AIDS/HIV-1 gp41 protein. Part of it, the gp41[659-671] peptide, that contains the complete epitope for the neutralizing 2F5 monoclonal antibody, has been found experimentally in a number of divergent structures. Herein, we attempt to reconcile them by using unbiased large-scale all-atom molecular dynamics folding simulations. We show that our approach can successfully capture the peptide's heterogeneity and reach each and every experimentally determined conformation in sub-angstrom accuracy, whilst preserving the peptide's disordered nature. Our analysis also unveils that the minor refinements within the AMBER99SB family of force fields can lead to appreciable differences in the predicted conformational stability arising from subtle differences in the helical- and β-region of the Ramachandran plot. Our work underlines the contribution of molecular dynamics simulation in structurally characterizing pharmacologically important peptides of ambiguous structure.

摘要

T-20肽是首个获得美国食品药品监督管理局(FDA)批准的针对艾滋病病毒/1型人类免疫缺陷病毒(AIDS/HIV-1)gp41蛋白的融合抑制剂。其中一部分,即gp41[659-671]肽,包含针对中和性2F5单克隆抗体的完整表位,已在实验中发现具有多种不同结构。在此,我们尝试通过使用无偏大规模全原子分子动力学折叠模拟来协调这些结构。我们表明,我们的方法能够成功捕捉该肽的异质性,并以亚埃精度达到每个实验确定的构象,同时保留该肽的无序性质。我们的分析还揭示,AMBER99SB力场家族中的微小改进可能会因拉马钱德兰图的螺旋区和β区的细微差异而导致预测的构象稳定性出现显著差异。我们的工作强调了分子动力学模拟在对结构模糊的药理学重要肽进行结构表征方面的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/d81a1e8d21b8/ao-2018-01579f_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/5cd362d04cd7/ao-2018-01579f_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/aef852ab255f/ao-2018-01579f_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/8d286cf68be1/ao-2018-01579f_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/be344a1e18ee/ao-2018-01579f_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/d81a1e8d21b8/ao-2018-01579f_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/5cd362d04cd7/ao-2018-01579f_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/aef852ab255f/ao-2018-01579f_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/8d286cf68be1/ao-2018-01579f_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/be344a1e18ee/ao-2018-01579f_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/6643504/d81a1e8d21b8/ao-2018-01579f_0005.jpg

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J Phys Chem B. 2018 Jan 11;122(1):106-116. doi: 10.1021/acs.jpcb.7b10292. Epub 2017 Dec 22.
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Sensitivity of Folding Molecular Dynamics Simulations to Even Minor Force Field Changes.折叠分子动力学模拟对哪怕微小的力场变化的敏感性。
J Chem Inf Model. 2016 Oct 24;56(10):2035-2041. doi: 10.1021/acs.jcim.6b00493. Epub 2016 Oct 5.
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Characterizing a partially ordered miniprotein through folding molecular dynamics simulations: Comparison with the experimental data.
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Protein Sci. 2016 Mar;25(3):587-96. doi: 10.1002/pro.2850. Epub 2015 Dec 16.
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Folding molecular dynamics simulations accurately predict the effect of mutations on the stability and structure of a vammin-derived peptide.折叠分子动力学模拟准确预测了突变对源自vammin的肽的稳定性和结构的影响。
J Phys Chem B. 2014 Aug 28;118(34):10076-84. doi: 10.1021/jp5046113. Epub 2014 Aug 13.
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