支持材料

Youjie Li, Li Ruiyi, Yongqiang Yang, Zaijun Li
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引用次数: 0

摘要

SI方法1。收敛性分析使用RMS平均相关性(RAC)和Kullback-Leibler散度(KLD)方法[18-19]来获取单个模拟是否合理收敛。RAC功能可以被认为是RMSD值的伪自相关函数。这本质上测量了在单个轨迹内不同时间间隔的总体平均结构的收敛性。对于给定的时间间隔或滞后(τ),在该时间间隔内对整个轨迹执行直线坐标运行平均值[24];然后将时间间隔τ内的每个滑动平均结构拟合为第一个平均结构(时间0−τ)或用户指定的参考结构,最后根据以下公式计算长度τ的所有平均结构的平均RMSD值:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supporting Materials
SI methods 1. Convergence analysis Both the RMS average correlations (RAC) and Kullback–Leibler divergence (KLD) methods [18-19] were used to access whether the individual simulations are reasonably converged. The RAC functionality can be thought of as a pseudo-autocorrelation function for RMSD values. This essentially measures the convergence of the overall average structure at different time intervals within a single trajectory. For a given time interval or lag (τ) a straight coordinate running average over that time interval is performed over the entire trajectory [24]; each sliding averaged structure over the time interval τ is then either fit to the first averaged structure (time 0 − τ) or a reference structure specified by the user, and finally the average RMSD value of all averaged structures of length τ is calculated according to:
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