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相关概念视频

Drug Discovery: Overview01:26

Drug Discovery: Overview

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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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Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

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Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
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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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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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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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Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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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...
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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对药物标预测方法的验证指南.

Ziaurrehman Tanoli1,2, Aron Schulman1, Tero Aittokallio1,2,3,4

  • 1Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

Expert opinion on drug discovery
|November 21, 2024
PubMed
概括
此摘要是机器生成的。

计算方法可以预测药物向相互作用,这对于药物发现至关重要. 自2014年以来,越来越多的研究表明对接和回归是常见的,但实验验证仍然很少见,并建议对生物相关性进行验证.

关键词:
药物向相互作用的预测和预测计算验证的计算验证药物重用是为了改变药物的用途.实验验证验证的实验验证.目标活动映射目标活动映射.

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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:

  • 计算化学是一种计算化学.
  • 药理学 药理学是指药理学的学科.
  • 生物信息学是一种生物信息学.

背景情况:

  • 药物向相互作用是药物发现和重新定位,告知作用机制和优化药物概况的关键.
  • 计算方法被广泛用于预测这些相互作用,但验证方法差异很大.
  • 了解这些方法的演变及其验证对于推动药物发现至关重要.

研究的目的:

  • 分析过去十年计算药物向相互作用预测方法的趋势.
  • 研究该领域的验证策略和绩效指标的演变.
  • 确定普遍的实验验证协议,并建议未来的方向.

主要方法:

  • 在过去10年中发表的关于药物向相互作用预测的3,286篇文章的系统文献综述.
  • 自然语言处理用于自动抽象分类和趋势分析.
  • 259项研究的手动分析,其中包括对计算预测的实验验证.

主要成果:

  • 自2014年以来,关于药物向相互作用预测的出版物显著增加.
  • 对接和回归是最常用的计算技术.
  • 交叉验证是一种常见的计算验证策略,但实验验证并不常见.
  • 对于计算预测,建议使用多个直角验证策略.

结论:

  • 计算药物向相互作用预测领域已经大幅增长,已经建立了计算方法和验证方法.
  • 需要更常规和更严格的实验验证,以确认计算预测的生物相关性.
  • 对各种验证策略的标准化报告对于可靠的药物发现和重新定位工作至关重要.