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Ligand Binding Sites02:40

Ligand Binding Sites

13.2K
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...
13.2K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

13.5K
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:
13.5K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.3K
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...
13.3K
Conserved Binding Sites01:49

Conserved Binding Sites

4.4K
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...
4.4K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.9K
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...
4.9K
Protein Networks02:26

Protein Networks

4.1K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K

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相关实验视频

Updated: Sep 14, 2025

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

2.9K

规模化的蛋白质-连接体数据支持机器学习.

Aled M Edwards1, Dafydd R Owen2,

  • 1Structural Genomics Consortium, University of Toronto and University Health Network, Toronto, Ontario, Canada. aled.edwards@utoronto.ca.

Nature reviews. Chemistry
|July 23, 2025
PubMed
概括

目标2035旨在在2035年之前为所有人类蛋白质创建化学探针. 这份路线图侧重于计算方法和开放数据,以加速小分子药物发现和预测新型结合剂.

科学领域:

  • 药物发现 药物发现 药物发现
  • 化学生物学 化学生物学
  • 计算化学计算化学

背景情况:

  • "目标2035"倡议旨在在2035年之前为每种人类蛋白质开发药理学调制剂.
  • 小分子撞击的发现是开发这些化学探测器的关键瓶.
  • 为了克服这一挑战,先进的计算方法至关重要.

研究的目的:

  • 概述目标2035路线图,以加强小分子命中发现的计算方法.
  • 建立大型的,开放的蛋白质-小分子结合数据数据集.
  • 促进机器学习模型开发,用于预测新型绑定器.

主要方法:

  • 使用亲和选择质谱和DNA编码化学库选生成高质量的蛋白质小分子结合数据.
  • 创建和公开共享积极和消极的绑定数据集.
  • 挑战机器学习社区使用这些数据集构建预测模型.

主要成果:

  • 预计到2030年,将确定成千上万种人类蛋白质的实验验证命中结果.
  • 旨在推进用于预测小分子结合物的开放访问算法.
  • 预测和测试的代周期将改进模型并改善预测的成功.

更多相关视频

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

Published on: June 20, 2025

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

Published on: January 26, 2024

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相关实验视频

Last Updated: Sep 14, 2025

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

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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

534
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

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结论:

  • 目标2035路线图利用开放数据和机器学习来加速化学探测器的发现.
  • 这一举措将大大推进用于识别类似药物的小分子的计算方法.
  • 该项目旨在为缺乏实验结合数据的蛋白质提供预测工具.