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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

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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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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
243
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.4K
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...
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Protein Networks02:26

Protein Networks

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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.
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,...
4.5K
Conserved Binding Sites01:49

Conserved Binding Sites

5.0K
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...
5.0K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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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.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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多方位图中的预测与药物重新定位研究的应用联系在一起.

Cheng Chen, Stephen K Grady, Levente Dojcsak

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    此摘要是机器生成的。

    药物重新定位通过预测现有药物的新用途来加速药物发现. 一种新的图形理论方法有效地归因于复杂的生物网络中的缺失环节,帮助这一过程.

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    科学领域:

    • 计算生物学是一种计算生物学.
    • 图形理论就是图形理论.
    • 药物发现 药物发现

    背景情况:

    • 开发新的伦理药物是耗时和昂贵的,每种药物超过10亿美元.
    • 药物重新定位提供了一个具有成本效益的替代方案,越来越依赖于in silico预测.
    • 现有的基于图形的方法在涉及两种以上数据类型的数据集上扎.

    研究的目的:

    • 引入一种创新的图形理论技术,用于在多方图中赋予潜在的链接.
    • 为了解决复杂,多种类型的生物数据集的当前分析的局限性.

    主要方法:

    • 开发了一种新的图形理论技术,用于在任意多方图中赋值缺失的边缘.
    • 将该方法应用于五个三部分图,每个图都包含疾病,药物和基因产品集.
    • 跨部分边缘代表了已知的相互作用或关联.

    主要成果:

    • 成功地证明了对三方图的新归算方法的实用性.
    • 提供了证据,支持推算边缘的可靠性.
    • 该技术增强了复杂的生物相互作用的分析.

    结论:

    • 引入的图形理论技术为分析多种类型的生物数据提供了有效的解决方案.
    • 这种方法可以通过改善药物向相互作用的预测来推进药物重新定位的努力.
    • 这种方法有可能加速对现有药物的新疗法应用的识别.