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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

15.4K
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:
15.4K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
734
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...
5.2K
Ligand Binding Sites02:40

Ligand Binding Sites

15.4K
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...
15.4K
Protein-Drug Binding: Mechanism and Kinetics01:16

Protein-Drug Binding: Mechanism and Kinetics

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Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
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相关实验视频

Updated: Mar 1, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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MDDTA:一种基于分子动力学模拟数据增强的药物向结合亲和力预测方法.

Long Zhao, Hongmei Wang, Ximin Zeng

    IEEE journal of biomedical and health informatics
    |February 27, 2026
    PubMed
    概括

    这项研究介绍了MDDTA,这是一种深度学习模型,包含分子动力学模拟来预测药物标结合亲和力. 通过考虑结构动态,MDDTA提高了药物查效率,并确定了潜在的SARS-CoV-2抑制剂.

    科学领域:

    • 计算化学是一种计算化学.
    • 药理学 药理学是指药理学的学科.
    • 生物信息学是一种生物信息学.

    背景情况:

    • 对于药物标结合亲和力 (DTA) 预测的深度学习模型对于有效的药物查至关重要.
    • 当前的方法往往忽略了药物向复合体的结构动态,限制了它们捕获微妙亲和力变化的能力.

    研究的目的:

    • 开发一个深度学习模型,以考虑DTA预测中的结构动态.
    • 提高计算药物查的准确性和适用性.

    主要方法:

    • 构建MD-PDBbind,一个使用分子动力学 (MD) 模拟的数据集.
    • 开发MDDTA模型,采用FAFormer架构进行几何学习,并使用动态感知损失函数.
    • 使用CASF-2016数据集和针对SARS-CoV-2化合物的药物查活动进行评估.

    主要成果:

    • 在CASF-2016基准指标上,MDDTA取得了优异的得分和排名表现.
    • 一个案例研究证实了将动态信息纳入DTA预测的好处.
    • 对70种SARS-CoV-2化合物的查确定了五个有前途的候选物,经过文献验证.

    结论:

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    • 该MDDTA模型有效地整合了结构动态,以改善DTA预测.
    • 这种方法增强了计算方法在实际药物发现和开发中的潜力.
    • 已识别的SARS-CoV-2化合物需要进一步研究治疗应用.