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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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转移学习用于预测分子模拟:CCSD中的数据效率高的潜在能量表面

Silvan Käser1, Jeremy O Richardson2, Markus Meuwly1

  • 1Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland.

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|June 20, 2025
PubMed
概括

本研究使用高效的转移学习开发了准确的潜在能量表面 (PES). 这种方法在复杂的分子模拟中以较低的计算成本实现了高精度.

科学领域:

  • 计算化学的计算化学
  • 量子化学 是一个量子化学.
  • 分子动力学分子动力学

背景情况:

  • 准确的潜在能量表面 (PESs) 对于分子模拟至关重要.
  • 高级量子化学方法 (例如,CCSDT) 对大分子来说在计算上昂贵.

研究的目的:

  • 通过使用数据效率高的转移学习,开发CCSD (T) 质量的 PES.
  • 为了使以前由于计算成本而难以处理的系统能够进行准确的分子模拟.

主要方法:

  • 员工转移学习技术,以实现数据效率高的 PES 构建.
  • 以计算成本的一小部分实现了最先进的准确性.

主要成果:

  • 为特罗波和 (酸) - - 酸二聚体 (PFD) 生成了准确的 PES.
  • 计算了半古典道分裂和无调频率.
  • 观察到与特罗波隆实验数据的良好一致.

结论:

  • 开发的框架提供了一个合理的策略,以获得最高精度的 PES.
  • 这种方法显著提高了精确分子模拟的计算效率.

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  • 该方法对光谱学和实验验证中的应用有希望.