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揭示核小体动力学:一项使用主成分分析增强的全原子和粗粒度模拟的比较研究。

Unveiling Nucleosome Dynamics: A Comparative Study Using All-Atom and Coarse-Grained Simulations Enhanced by Principal Component Analysis.

作者信息

Moulick Abhik Ghosh, Patel Rutika, Onyema Augustine, Loverde Sharon M

机构信息

Department of Chemistry, College of Staten Island, City University of New York, 2800 Victory Blvd., 6S-238, Staten Island, NY 10314.

Ph.D. Program in Biochemistry, Graduate Center, City University of New York, 365 5th Ave, New York, NY 10016, United States.

出版信息

bioRxiv. 2024 Nov 8:2024.11.05.622089. doi: 10.1101/2024.11.05.622089.

Abstract

This study investigates nucleosome dynamics using both all-atom and coarse-grained (CG) molecular dynamics simulations, focusing on the SIRAH force field. Simulations are performed for two nucleosomal DNA sequences-ASP and Widom-601-over six microseconds at physiological salt concentrations. Comparative analysis of structural parameters, such as groove widths and base pair geometries, reveals good agreement between atomistic and CG models, though CG simulations exhibit broader conformational sampling and greater breathing motion of DNA ends. Principal component analysis (PCA) is applied to DNA structural parameters, revealing multiple free energy minima, especially in CG simulations. These findings highlight the potential of the SIRAH CG force field for studying large-scale nucleosome dynamics, offering insights into DNA repositioning and sequence-dependent behavior.

摘要

本研究使用全原子和粗粒度(CG)分子动力学模拟来研究核小体动力学,重点关注SIRAH力场。在生理盐浓度下,对两种核小体DNA序列——ASP和Widom-601——进行了超过六微秒的模拟。对结构参数(如沟宽和碱基对几何形状)的比较分析表明,原子模型和CG模型之间具有良好的一致性,尽管CG模拟显示出更广泛的构象采样和DNA末端更大的呼吸运动。主成分分析(PCA)应用于DNA结构参数,揭示了多个自由能最小值,特别是在CG模拟中。这些发现突出了SIRAH CG力场在研究大规模核小体动力学方面的潜力,为DNA重新定位和序列依赖性行为提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bc/11580959/27c41ab0a571/nihpp-2024.11.05.622089v1-f0001.jpg

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