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相关概念视频

Drug Discovery: Overview01:26

Drug Discovery: Overview

7.8K
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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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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Prodrugs01:30

Prodrugs

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Prodrugs are a class of pharmaceutical compounds that undergo a biotransformation process within the body to be converted into a pharmacologically active drug. Prodrugs are designed to improve the therapeutic properties of the parent drug, such as enhancing bioavailability, increasing stability, or reducing toxicity. The concept of prodrugs revolves around modifying the chemical structure of the original drug to make it more effective or convenient for administration.
Prodrugs help overcome...
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Drug Administration and Therapy Phases: Overview01:26

Drug Administration and Therapy Phases: Overview

452
Drugs, the chemical agents used in diagnosing, treating, or preventing diseases, undergo a four-phase process of development: pharmaceutic, pharmacokinetics, pharmacodynamics, and therapeutic.
The pharmaceutical phase focuses on leveraging the physicochemical properties of the drug to design and manufacture an effective product. Variants include orally administered tablets or capsules, topical creams or ointments, and parenteral-delivery solutions or emulsions.
The pharmacokinetic phase...
452
Drug Biotransformation: Overview01:16

Drug Biotransformation: Overview

2.4K
Pharmaceutical substances known as xenobiotics are predominantly lipophilic and nonionized. This enables them to permeate lipid bilayers, such as cell membranes, and interact with intracellular target receptors. Lipophilic drugs have an advantage in crossing biological barriers and reaching their intended sites of action. However, lipophilic drugs often have a restricted capacity for renal expulsion or elimination from the body. When these drugs enter the kidneys and undergo glomerular...
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Principles of Drug Action01:24

Principles of Drug Action

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Drugs are chemical substances that modify biological responses by interacting with macromolecular targets such as receptors, ion channels, transporters, and enzymes. Pharmacodynamics describes the course of action of drugs leading to the physiological effect at a specific site in the body.
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...
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相关实验视频

Updated: Jun 27, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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使用词汇进化来预测药物重用.

Judita Preiss1

  • 1Information School, University of Sheffield, Sheffield, S1 4DP, UK. judita.preiss@sheffield.ac.uk.

BMC medical informatics and decision making
|April 30, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了词汇演变,以寻找现有药物的新用途. 通过分析科学文献中的词语含义如何随着时间的推移而变化,研究人员可以更有效地识别潜在的药物重用候选人.

关键词:
深度学习是一种深度学习.药物重新定位是药物重新定位.基于文献的发现发现.字体嵌入式 字体嵌入式词的演化 词的演化

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High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
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相关实验视频

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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
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High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

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科学领域:

  • 计算生物学是一种计算生物学.
  • 自然语言处理自然语言处理.
  • 药理学 药理学是指药理学的学科.

背景情况:

  • 传统的药物发现依赖于将来自单独出版物的知识联系起来.
  • 这可能导致潜在药物对的过度生成.
  • 使用词汇演变的替代方法被探索以提高效率.

研究的目的:

  • 调查词汇演变的使用,以检测适合重用药物的药物.
  • 利用不断变化的词语语境来识别现有药物的新疗法应用.

主要方法:

  • 词嵌入是从按时间顺序排序的MEDLINE出版物中生成的,每隔两个月.
  • 每个单词都创建了一个词嵌入的时间序列.
  • 临床药物是重点,使用统一医学语言系统 (UMLS) 或SemRep提取的语义三倍数来确定重用状态.

主要成果:

  • 深度学习分类模型经过训练并使用5倍交叉验证进行评估.
  • 性能达到65%的准确度与UMLS标签和81%的准确度与SemRep标签.
  • 这些结果表明了word evolution技术在药物重用检测方面的有效性.

结论:

  • 单词进化方法在识别用于重新用途的候选药物方面显示出显著的前景.
  • 性能取决于注释方法 (UMLS与SemRep).
  • 不同的深度学习架构是最佳的,取决于可用的培训数据数量和注释方法.