Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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 Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

13.0K
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:
13.0K
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
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
Drug-Receptor Bonds01:25

Drug-Receptor Bonds

2.9K
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...
2.9K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

7.9K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
7.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Comprehensive machine learning based study of the chemical space of herbicides.

Scientific reports·2021
Same author

From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active Learning.

Entropy (Basel, Switzerland)·2020
Same author

Patterns of diverse gene functions in genomic neighborhoods predict gene function and phenotype.

Scientific reports·2019
Same author

Bioprospecting for Genes Encoding Hydrocarbon-Degrading Enzymes from Metagenomic Samples Isolated from 
Northern Adriatic Sea Sediments.

Food technology and biotechnology·2018

相关实验视频

Updated: Jul 19, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

325

动态适用性领域 (dAD):化合物-目标结合亲和度估计与本地符合性预测.

Davor Oršolić1, Tomislav Šmuc1

  • 1Division of Electronics, Ruđer Bošković Institute, Bijenička cesta 54, Zagreb 10000, Croatia.

Bioinformatics (Oxford, England)
|August 18, 2023
PubMed
概括

这项研究引入了一种用于药物发现的新机器学习方法,增强了对结合亲缘关系预测的信心. 该方法通过考虑局部化合物-标相互作用来提高准确性.

科学领域:

  • 计算化学是一种计算化学.
  • 机器学习 机器学习
  • 药物发现 药物发现

背景情况:

  • 机器学习模型对于药物发现至关重要,但往往缺乏严格的信心评估来预测.
  • 预测化合物-标结合亲和力是化学信息学和计算药物设计中的一个关键任务.
  • 现有的合规预测方法提供了信心估计,但对于复杂的相互作用数据可以改进.

研究的目的:

  • 扩展诱导性合规预测框架,以改进化合物-目标结合亲和力预测.
  • 开发一种新的方法,将适用性领域概念与符合性预测集成在一起,以获得更可靠的信心估计.
  • 为单个化合物-目标相互作用提供更有信息的预测区域.

主要方法:

  • 开发了一种使用动态定义,对特定校准集的新型诱导性合规预测框架.
  • 纳入了复合目标社区的概念,以利用本地模型属性进行预测.
  • 结合了适用性领域范式与符合性预测,以提高信心评估.

主要成果:

  • 这种新的方法表明,与最先进的符合性预测方法相比,信任度评估优越.
  • 该框架在复杂的绑定亲缘关系预测场景中产生了有效和更具信息性的预测区域.
  • 在公共数据集和现实的用例场景上进行基准测试验证了拟议方法的有效性.

更多相关视频

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

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

Published on: February 23, 2024

2.6K

相关实验视频

Last Updated: Jul 19, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

325
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

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

Published on: February 23, 2024

2.6K

结论:

  • 拟议的方法为药物发现中的约束性亲缘关系预测提供了更严格和更有信息的信心评估.
  • 动态定义的校准集和基于社区的分析提高了机器学习模型在化学信息学中的可靠性.
  • 这项工作推进了对稳健的化合物-目标相互作用建模的符合性预测的应用.