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本文引用的文献

1
Single molecule conformational dynamics of adenylate kinase: energy landscape, structural correlations, and transition state ensembles.腺苷酸激酶的单分子构象动力学:能量景观、结构相关性和过渡态系综
J Am Chem Soc. 2008 Apr 9;130(14):4772-83. doi: 10.1021/ja0780481. Epub 2008 Mar 14.
2
Unfolding the fold of cyclic cysteine-rich peptides.展开富含半胱氨酸的环状肽的折叠结构。
Protein Sci. 2008 Mar;17(3):482-93. doi: 10.1110/ps.073142708.
3
Coarse-grained models of protein folding: toy models or predictive tools?蛋白质折叠的粗粒度模型:玩具模型还是预测工具?
Curr Opin Struct Biol. 2008 Feb;18(1):10-5. doi: 10.1016/j.sbi.2007.10.005. Epub 2007 Dec 21.
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Neutron protein crystallography: beyond the folding structure of biological macromolecules.中子蛋白质晶体学:超越生物大分子的折叠结构
Acta Crystallogr A. 2008 Jan;64(Pt 1):12-22. doi: 10.1107/S0108767307043498. Epub 2007 Dec 21.
5
Efficient and verified simulation of a path ensemble for conformational change in a united-residue model of calmodulin.在钙调蛋白统一残基模型中对构象变化的路径系综进行高效且经过验证的模拟。
Proc Natl Acad Sci U S A. 2007 Nov 13;104(46):18043-8. doi: 10.1073/pnas.0706349104. Epub 2007 Nov 1.
6
NMR identification of transient complexes critical to adenylate kinase catalysis.核磁共振鉴定对腺苷酸激酶催化至关重要的瞬时复合物。
J Am Chem Soc. 2007 Nov 14;129(45):14003-12. doi: 10.1021/ja075055g. Epub 2007 Oct 13.
7
Critical assessment of methods of protein structure prediction-Round VII.蛋白质结构预测方法的批判性评估——第七轮。
Proteins. 2007;69 Suppl 8(S8):3-9. doi: 10.1002/prot.21767.
8
From coarse-grain to all-atom: toward multiscale analysis of protein landscapes.从粗粒度到全原子:迈向蛋白质景观的多尺度分析
Proteins. 2007 Aug 15;68(3):646-61. doi: 10.1002/prot.21371.
9
Fast and reliable analysis of molecular motion using proximity relations and dimensionality reduction.利用邻近关系和降维技术对分子运动进行快速可靠的分析。
Proteins. 2007 Jun 1;67(4):897-907. doi: 10.1002/prot.21337.
10
Essential dynamics sampling study of adenylate kinase: comparison to citrate synthase and implication for the hinge and shear mechanisms of domain motions.腺苷酸激酶的必要动力学抽样研究:与柠檬酸合酶的比较及对结构域运动的铰链和剪切机制的启示
Proteins. 2007 May 1;67(2):325-37. doi: 10.1002/prot.21280.

蛋白质构象集合的多尺度表征

Multiscale characterization of protein conformational ensembles.

作者信息

Shehu Amarda, Kavraki Lydia E, Clementi Cecilia

机构信息

Department of Computer Science, Rice University, Houston, Texas 77005, USA.

出版信息

Proteins. 2009 Sep;76(4):837-51. doi: 10.1002/prot.22390.

DOI:10.1002/prot.22390
PMID:19280604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3164158/
Abstract

We propose a multiscale exploration method to characterize the conformational space populated by a protein at equilibrium. The method efficiently obtains a large set of equilibrium conformations in two stages: first exploring the entire space at a coarse-grained level of detail, then narrowing a refined exploration to selected low-energy regions. The coarse-grained exploration periodically adds all-atom detail to selected conformations to ensure that the search leads to regions which maintain low energies in all-atom detail. The second stage reconstructs selected low-energy coarse-grained conformations in all-atom detail. A low-dimensional energy landscape associated with all-atom conformations allows focusing the exploration to energy minima and their conformational ensembles. The lowest energy ensembles are enriched with additional all-atom conformations through further multiscale exploration. The lowest energy ensembles obtained from the application of the method to three different proteins correctly capture the known functional states of the considered systems.

摘要

我们提出了一种多尺度探索方法,以表征蛋白质在平衡状态下所占据的构象空间。该方法分两个阶段有效地获得大量平衡构象:首先在粗粒度细节水平上探索整个空间,然后将精细探索范围缩小到选定的低能区域。粗粒度探索会定期为选定的构象添加全原子细节,以确保搜索导向在全原子细节上保持低能量的区域。第二阶段以全原子细节重建选定的低能粗粒度构象。与全原子构象相关的低维能量景观允许将探索聚焦于能量最小值及其构象集合。通过进一步的多尺度探索,最低能量集合中富集了额外的全原子构象。将该方法应用于三种不同蛋白质所获得的最低能量集合正确地捕获了所考虑系统的已知功能状态。