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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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Ligand Binding Sites02:40

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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...
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Drug Discovery: Overview01:26

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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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.
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Structure-Activity Relationships and Drug Design01:28

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
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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.
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相关实验视频

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药物向相互作用预测的in silico方法

Xiaoqing Ru1, Lifeng Xu2, Wu Han3

  • 1The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.

Cell reports methods
|September 25, 2025
PubMed
概括

本综述探讨了in silico药物向相互作用 (DTI) 预测方法. 它通过完善现有技术和整合新技术来解决DTI预测的挑战,例如用于高效药物发现的大型语言模型.

关键词:
CP:计算生物学 计算机生物学DTI的预测策略和预测策略药物向相互作用的预测和预测在 silico 的方法.

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科学领域:

  • 计算化学是一种计算化学.
  • 生物信息学是一种生物信息学.
  • 药物发现 药物发现

背景情况:

  • 药物向相互作用 (DTI) 的预测对于药物发现至关重要.
  • 在 silico 方法提供了传统药物开发的成本效益和高效的替代方案.
  • 越来越多的生物数据需要先进的计算方法来预测DTI.

研究的目的:

  • 审查当前的in silico DTI预测方法.
  • 确定影响DTI预测准确性的关键因素.
  • 提出克服DTI预测方面的挑战的策略.

主要方法:

  • 对有关DTI预测的现有文献进行分析.
  • 确定影响DTI预测的四个主要因素.
  • 数据的评估,特征工程和实验设置策略.
  • 探索完善"通过关联的内"方法的探索.
  • 整合新兴技术,如大型语言模型和AlphaFold.

主要成果:

  • 确定了影响DTI预测的四个关键因素.
  • 提出了管理数据稀疏性的策略,包括完善"因关联而有罪".
  • 重点强调了大型语言模型和AlphaFold在DTI预测中的特征工程方面的潜力.
  • 讨论了DTI预测的持续挑战.

结论:

  • 完善既有方法和整合新技术对于推进DTI预测至关重要.
  • 本综述为计算药物发现的未来研究提供了指导.
  • 改进的DTI预测可以加速药物开发过程.