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相关概念视频

The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Nuclear Binding Energy02:13

Nuclear Binding Energy

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The difference between the calculated and experimentally measured masses is known as the mass defect of the atom. In the case of helium-4, the mass defect indicates a “loss” in mass of 4.0331 amu – 4.0026 amu = 0.0305 amu. The loss in mass accompanying the formation of an atom from protons, neutrons, and electrons is due to the conversion of that mass into energy that is evolved as the atom forms. The nuclear binding energy is the energy produced when the atoms’ nucleons...
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Potential Energy00:52

Potential Energy

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The energy stored by a structure and location of matter in space is called potential energy. For instance, raising a kettlebell changes its spatial location and increases its potential energy. Similarly, a stretched rubber band contains potential energy which, under certain conditions, can be converted into other forms of energy, such as kinetic energy.
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
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Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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Free Energy01:21

Free Energy

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Free energy—abbreviated as G for the scientist Gibbs who discovered it—is a measurement of useful energy that can be extracted from a reaction to do work. It is the energy in a chemical reaction that is available after entropy is accounted for. Reactions that take in energy are considered endergonic and reactions that release energy are exergonic. Plants carry out endergonic reactions by taking in sunlight and carbon dioxide to produce glucose and oxygen. Animals, in turn, break...
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Cell Potential and Free Energy

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Thermodynamics of a Redox Reaction
Thermodynamics is the branch of physics dealing with the relationship between heat and other forms of energy. In an electrochemical cell, chemical energy is converted into electrical energy.
Thus, a link can be predicted between cell potential, free energy change, and the equilibrium constant for the reaction. Cell potential can also be measured as the oxidant or the reducing strength, and similar acid-base strength measures are reflected in equilibrium...
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Updated: May 15, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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量子绑定-RBFE:使用神经网络潜力的准确的相对绑定自由能量计算.

Francesc Sabanés Zariquiey1, Stephen E Farr1, Stefan Doerr2

  • 1Acellera Laboratories, C Dr Trueta 183, Barcelona 08005, Spain.

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概括

这项研究引入了AceFF 1.0,这是一个新的神经网络潜力 (NNP) 模型,用于预测蛋白质-连接体结合亲缘关系. AceFF 1.0 提高了准确性,加快了模拟速度,有助于药物发现.

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科学领域:

  • 计算化学是一种计算化学.
  • 药物的发现和开发.

背景情况:

  • 准确地预测蛋白质 - 配体结合亲缘关系对于有效的药物发现至关重要.
  • 现有的联体力场存在影响预测准确性的局限性.
  • 神经网络潜力 (NNP) 为提高准确性提供了一个有希望的替代方案.

研究的目的:

  • 为了验证相对约束自由能量 (RBFE) 预测的准确性,使用一个新的NNP模型,AceFF 1.0.0.
  • 对AceFF 1.0的性能进行评估,并将其与GAFF2和ANI2-x等已知方法进行比较.
  • 评估AceFF 1.0对各种类药物分子的计算效率和适用性.

主要方法:

  • 开发和利用AceFF 1.0,一个基于TensorNet的NNP模型用于小分子.
  • 验证使用已建立的基准来预测具有约束力的亲和力.
  • 对GAFF2 (分子力学) 和ANI2-x (NNP) 的比较分析.
  • 使用2 fs时间步骤评估模拟速度.

主要成果:

  • 与GAFF2和ANI2-x相比,AceFF 1.0在结合亲和力预测中显示出更好的准确性和相关性.
  • 该模型显示了与OPLS4相似的相关性,准确度略低.
  • 使用AceFF 1.0的NNP模拟可以以2 fs的时间步骤运行,从而显著提高速度.
  • 该模型支持各种类药物化合物,包括带电分子.

结论:

  • 在药物发现中,AceFF 1.0对推进自由能量计算具有显著的前景.
  • 当前一代的AceFF 1.0已经在实践中用于研究.
  • 代码和NNP模型是公开的,这有助于进一步的研究和开发.