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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
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...
12.8K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
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...
12.5K
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

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
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

156
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...
156
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

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相关实验视频

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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[利用人工智能的进展来预测蛋白质-配体结合亲缘关系]

Yinan Yun1,2,3, Shimeng Liu3, Qi Dai1

  • 1School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, Zhejiang, China.

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
|July 24, 2024
PubMed
概括

人工智能 (AI) 由于其准确性和速度,提高了蛋白质 - 配体结合亲和力 (PLBA) 的预测. 这篇评论涵盖了AI.

关键词:
人工智能的人工智能是人工智能.药物开发是药物的发展.酶工程是指酶工程的工程.蛋白质 - 配合物结合性亲和力

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A Protocol for Computer-Based Protein Structure and Function Prediction
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科学领域:

  • 生物化学和计算生物学.

背景情况:

  • 蛋白质 - 配体结合亲和力 (PLBA) 对生物过程,药物发现和酶工程至关重要.
  • 准确的PLBA计算提供了对蛋白质功能的洞察,并指导治疗标的识别.

研究的目的:

  • 在PLBA预测中提供人工智能 (AI) 应用的全面概述.
  • 讨论人工智能的作用,资源,应用,挑战以及该领域的未来方向.

主要方法:

  • 审查目前用于PLBA预测的AI方法和算法.
  • 对AI的特征提取能力和预测准确性的分析.

主要成果:

  • 人工智能在预测PLBA方面表现强,优于传统方法.
  • 人工智能为大规模的药物查和分析提供了必要的快速计算.

结论:

  • 人工智能是一个强大的工具,可以彻底改变PLBA预测及其在药物发现中的应用.
  • 为PLBA解决人工智能的当前挑战将进一步提高其实用性和影响.