arrow
返回

Surface-Accelerated String Method for Locating Minimum Free Energy Paths

delete2024-02-17
delete7
PRE
AI
T
Timothy J. Giese
Ş
Şölen Ekesan
E
Erika McCarthy
Y
Yujun Tao
D
Darrin M. York *
DOI:10.1021/acs.jctc.3c01401delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
We present a surface-accelerated string method (SASM) to efficiently optimize low-dimensional reaction pathways from the sampling performed with expensive quantum mechanical/molecular mechanical (QM/MM) Hamiltonians. The SASM accelerates the convergence of the path using the aggregate sampling obtained from the current and previous string iterations, whereas approaches like the string method in collective variables (SMCV) or the modified string method in collective variables (MSMCV) update the path only from the sampling obtained from the current iteration. Furthermore, the SASM decouples the number of images used to perform sampling from the number of synthetic images used to represent the path. The path is optimized on the current best estimate of the free energy surface obtained from all available sampling, and the proposed set of new simulations is not restricted to being located along the optimized path. Instead, the umbrella potential placement is chosen to extend the range of the free energy surface and improve the quality of the free energy estimates near the path. In this manner, the SASM is shown to improve the exploration for a minimum free energy pathway in regions where the free energy surface is relatively flat. Furthermore, it improves the quality of the free energy profile when the string is discretized with too few images. We compare the SASM, SMCV, and MSMCV using 3 QM/MM applications: a ribozyme methyltransferase reaction using 2 reaction coordinates, the 2 '-O-transphosphorylation reaction of Hammerhead ribozyme using 3 reaction coordinates, and a tautomeric reaction in B-DNA using 5 reaction coordinates. We show that SASM converges the paths using roughly 3 times less sampling than the SMCV and MSMCV methods. All three algorithms have been implemented in the FE-ToolKit package made freely available.
Keyword:
PARTICLE MESH EWALD
HAMMERHEAD RIBOZYME CATALYSIS
COUPLED ELECTRON-TRANSFER
MOLECULAR-DYNAMICS
THERMODYNAMIC INTEGRATION
ENZYMATIC-REACTIONS
LAMBDA-DYNAMICS
ACID CATALYSIS
ACTIVE-SITE
RNA

期刊

Journal of Chemical Theory and Computation 封面图
Journal of Chemical Theory and Computation
IF:
5.5
论文数:
1.1W
被引数:
5.4W

机构

R
rutgers university system
学者数:
4.1W
论文数: 3.7W
被引数: 53
引用论文

引用论文

Role of Mg2+ in hammerhead ribozyme catalysis from molecular simulation
err2008-02-14
err126
errOAAI
errLee, Tai-Sung; Lopez, Carlos Silva; Giambasu, George M.; Martick, Monika; Scott, William G.; York, Darrin M.
err分享
err收藏
err
IF0
err
err0
PREAI
err
err分享
err收藏
err
IF0
err
err0
PREAI
err
err分享
err收藏
err分享
err收藏
学者 查看更多内容