500ns Trajectory Data for "Comparative Exploratory Analysis of Intrinsically Disordered Protein Dynamics Using Machine Learning and Network Analytic Methods," (Grazioli.et.al. 2019)

Name: 500ns Trajectory Data for "Comparative Exploratory Analysis of Intrinsically Disordered Protein Dynamics Using Machine Learning and Network Analytic Methods," (Grazioli.et.al. 2019)
Creator: University of California, Irvine
Published: 2022-01-01T00:00:00+08:00

Harvard Dataverse2022-01-24 更新2026-04-09 收录

分子动力学模拟

内在无序蛋白质

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ERYOZS 数据链接链接失效反馈

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资源简介：

This data set currently contains two 100ns atomistic molecular dynamics trajectories of Abeta[1-40], one wild type and one E22G, following the protocol of the 500ns trajectories published in Grazioli et al. (2019). Simulation was performed at 310K in generalized Born implicit solvent; for additional details, see the associated paper. The 500ns trajectories will be added in a subsequent update to this archive.

提供机构：

University of California, Irvine

创建时间：

2022-01-01