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

Ligand Binding Sites02:40

Ligand Binding Sites

12.6K
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...
12.6K
Conserved Binding Sites01:49

Conserved Binding Sites

4.1K
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...
4.1K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

12.7K
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:
12.7K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.4K
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...
12.4K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.7K
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...
4.7K
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

103
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...
103

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

Fusing graph transformer with multi-aggregate GCN for enhanced drug-disease associations prediction.

BMC bioinformatics·2024
Same author

Predicting Drug-Target Interactions Over Heterogeneous Information Network.

IEEE journal of biomedical and health informatics·2022
Same author

Psychological stress-induced oxidative stress as a model of sub-healthy condition and the effect of TCM.

Evidence-based complementary and alternative medicine : eCAM·2007
Same author

Edge-based scoring and searching method for identifying condition-responsive protein-protein interaction sub-network.

Bioinformatics (Oxford, England)·2007
Same author

[The value of long-term postoperative follow-up after curative resection of lung cancer and common problems associated with it].

Nihon Geka Gakkai zasshi·2007
Same author

Identification of a type III thioesterase reveals the function of an operon crucial for Mtb virulence.

Chemistry & biology·2007

相关实验视频

Updated: May 21, 2025

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

1.0K

当地-全球结构-意识到几何等值图表表示学习预测蛋白质-连接物结合亲和力.

Shihong Chen, Haicheng Yi, Zhuhong You

    IEEE transactions on neural networks and learning systems
    |March 18, 2025
    PubMed
    概括

    预测蛋白质 - 配体结合亲和力对于药物发现至关重要. 我们的新型几何等变图学习框架Geo-PLA准确地捕捉复杂的3D结构,以改善绑定亲和力预测.

    科学领域:

    • 计算化学是一种计算化学.
    • 结构生物学是结构生物学.
    • 机器学习 机器学习

    背景情况:

    • 准确预测蛋白质 - 连接体结合亲和关系对于有效的药物发现和设计至关重要.
    • 现有的计算方法往往难以有效地利用蛋白质-连接体复合体的几何性质.

    研究的目的:

    • 开发一种新的几何等变图表示学习框架,Geo-protein-ligand结合亲和力 (PLA),用于增强结合亲和力的预测.
    • 为了捕获蛋白质 - 配体复合体内的本地和全球结构信息.

    主要方法:

    • 使用等价图神经网络 (EGNN) 来提取本地3D结构信息,同时保持坐标转换等价值.
    • 采用图形变压器来捕捉远程原子相互作用,以获得全球视角.
    • 来自EGNN和图形转换器通道的综合多尺度信息.

    主要成果:

    • 在两个基准数据集上,Geo-PLA在预测绑定亲和关系方面表现出卓越的表现.
    • 该模型成功捕获了对准确预测至关重要的几何信息.
    • 视觉解释为蛋白质 - 配体相互作用提供了宝贵的生物学见解.

    结论:

    更多相关视频

    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

    2.3K
    A Protocol for Computer-Based Protein Structure and Function Prediction
    16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    68.4K

    相关实验视频

    Last Updated: May 21, 2025

    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

    1.0K
    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

    2.3K
    A Protocol for Computer-Based Protein Structure and Function Prediction
    16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    68.4K
  • 通过利用几何深度学习,Geo-PLA提供了一种强大的新方法来预测蛋白质-联体结合亲和力.
  • 该框架为计算药物发现提供了更准确,更有洞察力的方法.
  • 该模型提供生物见解的能力支持其在虚拟查和药物重新定位中的应用.