相关实验视频

Updated: Jun 23, 2025

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.2K

为具有E(3) 神经网络预测的非对称参数的蛋白质开发一种可差异化的远程力场

Zheng Cheng1,2, Hangrui Bi1,3, Siyuan Liu3

  • 1School of Mathematical Sciences, Peking University, Beijing 100871, China.

Journal of chemical theory and computation
|June 18, 2024
PubMed
概括

本研究介绍了一个新的数据库和E(3) 神经网络 (E3NN),用于准确预测分子动力学 (MD) 模拟中的远程相互作用. 这推动了下一代蛋白质力场的发展.

更多相关视频

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.0K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches10:50

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

Published on: June 21, 2022

1.7K

相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
48