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相关概念视频

Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.8K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.8K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

12.9K
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:
12.9K
Ligand Binding Sites02:40

Ligand Binding Sites

12.9K
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...
12.9K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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...
4.2K
The Two-State Receptor Model01:29

The Two-State Receptor Model

1.9K
The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
The binding affinity of a drug determines its interaction with...
1.9K
Drug-Receptor Bonds01:25

Drug-Receptor Bonds

2.8K
Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
In...
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相关实验视频

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Fluorescence Anisotropy as a Tool to Study Protein-protein Interactions
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基于对联结的比较网络计算连接体的相对结合亲和力.

Jie Yu1,2,3, Zhaojun Li4,5, Geng Chen1,6,7

  • 1Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.

Nature computational science
|January 4, 2024
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概括

我们开发了一种新的计算方法,即双向结合比较网络 (PBCNet),以准确排列连接体结合亲和力. PBCNet显著加速药物发现和优化,具有高预测准确性和效率.

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科学领域:

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 机器学习在化学中的应用

背景情况:

  • 基于结构的优化仍然是药物发现的挑战.
  • 目前的方法很大程度上依赖于假设和药物化学家的经验.

研究的目的:

  • 引入一种新的计算方法,用于对同源配体的相对结合亲缘关系进行排名.
  • 提高药物发现中的预测准确性和计算效率.

主要方法:

  • 开发了一种对联结合的比较网络 (PBCNet).
  • 使用了基于物理的图表注意力机制.
  • 在施罗丁格和默克的持有数据集上对比PBCNet.

主要成果:

  • PBCNet在预测准确性和计算效率方面展示了显著的优势.
  • 通过微调,PBCNet的表现与施罗丁格的FEP+相匹配.
  • 积极学习优化的PBCNet显示出加速领先优化的潜力473%.

结论:

  • PBCNet提供了一种强大而高效的工具,用于预测相对结合亲和力.
  • 提供PBCNet的网络服务,以促进其在药物发现中的使用.
  • 该方法有可能显著加速领先优化活动.