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相关概念视频

Allosteric Proteins-ATCase01:19

Allosteric Proteins-ATCase

5.7K
Binding sites linkages can regulate a protein's function.  For example, enzyme activity is often regulated through a feedback mechanism where the end product of the biochemical process serves as an inhibitor.
Aspartate transcarbamoylase (ATCase) is a cytosolic enzyme that catalyzes the condensation of L-aspartate and carbamoyl phosphate to  N-carbamoyl-L-aspartate. This reaction is the first step in pyrimidine biosynthesis. UTP and CTP, the end products of the pyrimidine synthesis...
5.7K
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
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
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
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
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

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相关实验视频

Updated: Jul 3, 2025

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

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机器学习方法用于预测全位.

Francho Nerín-Fonz1, Zoe Cournia1

  • 1Biomedical Research Foundation, Academy of Athens, 4 Soranou Ephesiou, Athens 11527, Greece; Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.

Current opinion in structural biology
|February 14, 2024
PubMed
概括
此摘要是机器生成的。

本综述涵盖了用于预测全位的机器学习模型,这对于药物发现至关重要. 未来的AI进步,包括蛋白质语言模型,有望增强全调节器的开发.

关键词:
这里是Allostery.药物设计 药物设计机器学习是机器学习.蛋白质结合部位是蛋白质结合部位.

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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科学领域:

  • 生物化学和分子生物学
  • 计算化学计算化学
  • 药理学 药理学是指药理学的学科.

背景情况:

  • 体调节通过调节器控制细胞过程,通过调节器与远端蛋白位点结合.
  • 阿洛斯特基调节器比奥托斯特基调节器具有优势,推动了计算药物发现工作.
  • 识别全位是开发新疗法的关键.

研究的目的:

  • 审查现有的机器学习 (ML) 模型,用于预测全位.
  • 讨论人工智能 (AI) 在推进全药物发现方面的潜力.
  • 突出未来的观点,包括蛋白质语言模型的作用.

主要方法:

  • 对计算方法的文献综述,以识别全位点.
  • 机器学习模型应用在预测全结合部位方面的分析.
  • 探索新兴的人工智能技术,与全调制相关.

主要成果:

  • 已经开发了几种ML模型来预测全位.
  • 这些模型利用计算策略来识别潜在的药物目标.
  • 审查综合了当前的方法及其成功.

结论:

  • 机器学习模型是预测全位的宝贵工具.
  • 人工智能,特别是蛋白质语言模型,提供了有希望的未来方向.
  • 计算方法的进步将加速全性药物发现.