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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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Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Conserved Binding Sites01:49

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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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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MO Theory and Covalent Bonding02:40

MO Theory and Covalent Bonding

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The molecular orbital theory describes the distribution of electrons in molecules in a manner similar to the distribution of electrons in atomic orbitals. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Mathematically, the linear combination of atomic orbitals (LCAO) generates molecular orbitals. Combinations of in-phase atomic orbital wave functions result in regions with a high probability of electron density, while...
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Updated: Jun 9, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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开发分子对接的通用分数函数:挑战和前景

Rodrigo Quiroga1, Marcos Villarreal1

  • 1Departamento de Química Teórica y Computacional, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba. Instituto de Investigaciones en Físico-Química de Córdoba, INFIQC-CONICET, Argentina.

Current medicinal chemistry
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概括
此摘要是机器生成的。

开发精确的评分函数 (SF) 对于基于结构的药物发现至关重要. 本综述强调了培训SF的最佳实践,重点关注数据质量和强大的方法论,以提高药物标结合性亲和力预测.

关键词:
分子对接是分子对接.计算机化药物发现.深度学习. 深度学习.机器学习是机器学习.评分功能是一个得分函数.虚拟选是虚拟的选.

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科学领域:

  • 计算化学是一种计算化学.
  • 药品化学 药品化学 是一个
  • 药理学 药理学是指药理学的学科.

背景情况:

  • 基于结构的药物发现依赖于分子对接和虚拟选.
  • 评分函数 (SFs) 对于预测蛋白质-连接体结合亲缘关系至关重要.

研究的目的:

  • 审查在培训新型评分功能的挑战和最佳实践.
  • 提高SFs的准确性和通用性,以预测约束亲和关系.

主要方法:

  • 审查现有的关于评分功能的训练的文献.
  • 重点是数据质量,偏差缓解和过度匹配的预防.
  • 探索混合经验和机器学习方法.

主要成果:

  • 有效的SF培训需要高质量,公正的数据集.
  • 需要强大的培训策略来实现一致和可通用的SF.
  • 混合方法显示出卓越性能和多功能性的潜力.

结论:

  • 解决偏差和过拟合对于可靠的SFs至关重要.
  • 高质量的数据对于成功的SF开发至关重要.
  • 创新的混合评分功能为药物发现提供了有前途的进展.