相关实验视频

Updated: Jun 29, 2025

Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function

Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function

Published on: April 26, 2024

从分子力学力场重新加权到ANI-2x神经网络潜力

Sara Tkaczyk^1,2, Johannes Karwounopoulos^3,4, Andreas Schöller^3,4

¹Department of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.

Journal of chemical theory and computation

|March 25, 2024

概括

这项研究表明,在使用神经网络潜力 (NNP) 与分子力学 (MM) 潜力时,不平衡切换模拟对于准确的自由能量计算是最好的. 这种方法是高效和稳固的.

科学领域:

计算化学是一种计算化学.
分子动力学分子动力学
免费能源的计算方法

背景情况:

准确的自由能量计算需要精确的潜在能量表面和高效的采样.
神经网络潜力 (NNP) 提供比分子力学 (MM) 力场更高的精度,但在计算上昂贵.
间接的自由能量计算 (最终状态校正) 使用MM潜力进行初始计算,NNP用于重权.

研究的目的:

系统地研究从MM重量转变为NNP (ANI-2x) 潜力的准确性和稳定性.
用重权技术评估模拟参数对自由能量计算的影响.
将不平衡 (NEQ) 切换模拟与平衡自由能量模拟进行比较.

主要方法:

采用了单步自由能量扰动 (FEP) 和NEQ切换模拟.
使用重权技术将结果从MM转移到NNP潜力.
该研究分析了切换长度和缓慢的自由度对工作分配异常值的影响.

主要成果:

在MM和NNP潜力之间NEQ切换模拟提供了准确的自由能量估计.
更长的切换长度和较慢的自由度可能会影响异常工作分布.
对于这种MM-NNP转移,NEQ切换模拟比平衡方法更适合.

结论:

不平衡切换模拟是准确计算涉及NNP和MM潜力的自由能量的首选方法.
在MM和NNP之间转移计算时,NEQ切换方法是高效,稳固且易于实施的.

更多相关视频

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

相关概念视频

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...