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相关概念视频

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
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
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
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-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

97
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...
97
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

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相关实验视频

Updated: May 17, 2025

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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预测腔和结合部位识别:技术和应用.

Shilpa Chandel1, Bharat Parashar2, Syed Atif Ali3

  • 1Faculty of Pharmaceutical Sciences, The ICFAI University, Himachal Pradesh, India; Department of Pharmacy, Banasthali Vidyapith, Banasthali, Rajasthan, India.

Advances in pharmacology (San Diego, Calif.)
|April 2, 2025
PubMed
概括

识别蛋白质结合部位对于药物发现至关重要. 计算和实验方法都有助于预测这些位置,加速新药的开发.

关键词:
药物发现 药物发现质谱法 质谱法 质谱法 质谱法分子对接是分子对接.分子动力学分子动力学核磁共振是一种核磁共振.

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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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科学领域:

  • 分子生物学分子生物学
  • 生物化学 生化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 蛋白质结合点是药物发现和理解分子相互作用的关键目标.
  • 识别这些部位对于开发有效和特定的治疗剂至关重要.
  • 计算和实验方法都用于预测和描述蛋白质结合部位.

研究的目的:

  • 审查和总结识别蛋白质结合位点的策略.
  • 突出这些策略在药物发现和分子对接中的重要性.
  • 讨论计算和实验技术的整合,以提高准确性.

主要方法:

  • 计算方法:分子动力学,对接模拟,口袋识别算法,同质建模和机器学习.
  • 实验方法:NMR光谱学,质谱学和X射线晶体学.
  • 基于序列和基于结构的方法.

主要成果:

  • 计算技术提供了基于蛋白质结构和属性的结合口袋的洞察力.
  • 基于序列的方法利用机器学习来预测新型蛋白质上的相互作用位点.
  • 实验技术提供高分辨率的结构数据,用于绘制结合点和构造变化的地图.
  • 这些方法可以实现虚拟查和基于结构的药物设计.

结论:

  • 准确识别蛋白质结合部位对于有效的药物发现和设计至关重要.
  • 计算和实验方法之间的协同作用增强了结合点的预测和表征.
  • 这些技术的进步正在推动分子生物学研究和治疗开发的创新.