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Updated: Jul 5, 2025

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
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基于量子化学计算的相互作用能量数据集的生物宏分子建模的机器学习力场

Zhen-Xuan Fan1, Sheng D Chao1,2

  • 1Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.

Bioengineering (Basel, Switzerland)
|January 22, 2024
PubMed
概括

生物分子模拟的精确力场需要精确的非对应相互作用能量. 这项研究验证了SAPT2 (对称调整扰动理论) 理论水平,并使用机器学习 (CLIFF方案) 来开发高效的力场.

关键词:
一开始的能源数据集.人工智能的人工智能是人工智能.机器学习的力量场是机器学习的力量场.非对应相互作用的非对应相互作用.适应对称性的扰动理论.

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