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粗粒度单链DNA结构的虚拟键长、键角和二面角的归一化概率分布数据集。

Dataset of normalized probability distributions of virtual bond lengths, bond angles, and dihedral angles for the coarse-grained single-stranded DNA structures.

作者信息

Qian Jun-Lin, Sun Li-Zhen

机构信息

Department of Applied Physics, Zhejiang University of Technology, China.

出版信息

Data Brief. 2022 May 15;42:108284. doi: 10.1016/j.dib.2022.108284. eCollection 2022 Jun.

Abstract

The utility of the coarse-grained (CG) single-stranded DNA (ssDNA) model can drastically reduce the compute time for simulating the ssDNA dynamics. The model-matched CG potentials and the inherent potential constants can be derived by coarse-graining the experimentally measured ssDNA structures. A useful and widespread treatment of the CG model is to use three different pseudo-atoms P, S, and B to represent the atomic groups of phosphate, sugar, and base, respectively, in each nucleotide of the ssDNA structures. The three pseudo-atoms generate nine types of the structural parameters to characterize the unstructured ssDNA conformations, including three (virtual) bond lengths (P-S, S-B, and S-P) between two neighbouring beads, four bond angles (P-S-P, S-P-S, P-S-B, and B-S-P) between three adjacent bonds, and two dihedral angles (P-S-P-S and S-P-S-P) between three successive bonds. This paper mainly presents the data of normalized probability distributions of the bond lengths, bond angles, and dihedral angles for the CG ssDNAs.

摘要

粗粒化(CG)单链DNA(ssDNA)模型的实用性可以大幅减少模拟ssDNA动力学的计算时间。通过对实验测量的ssDNA结构进行粗粒化,可以推导出与模型匹配的CG势和固有势常数。对CG模型一种常用且广泛的处理方法是,在ssDNA结构的每个核苷酸中,分别使用三种不同的伪原子P、S和B来代表磷酸基团、糖基团和碱基的原子基团。这三种伪原子产生九种类型的结构参数来表征无规ssDNA构象,包括相邻两个珠子之间的三种(虚拟)键长(P-S、S-B和S-P)、三个相邻键之间的四个键角(P-S-P、S-P-S、P-S-B和B-S-P)以及三个连续键之间的两个二面角(P-S-P-S和S-P-S-P)。本文主要给出了CG ssDNA的键长、键角和二面角的归一化概率分布数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70c1/9142626/15f34f9dca89/gr1.jpg

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