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相关概念视频

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 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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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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During the development of a new pharmaceutical, the manufacturer initially assigns a code name to the drug. Once approved, the drug receives a United States Adopted Name (USAN)—a generic, nonproprietary designation. Upon being listed in the United States Pharmacopeia, this nonproprietary name becomes the drug's official name. Additionally, the manufacturer assigns a proprietary name or trademark, which serves as the brand name under which the drug is marketed. It is worth noting that...
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Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
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Prescription drugs require a prescription from a medical practitioner and can only be obtained from a pharmacy. They have many applications, including treating pain, anxiety, and hypertension.
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药物GWAS:一种基于GWAS的知识库,用于药物重用.

Hongen Kang1,2, Siyu Pan1,2, Shiqi Lin1,2

  • 1CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.

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PharmGWAS将全基因组关联研究 (GWAS) 数据与药物干扰特征集成,以识别新型药物重定向候选者. 这种知识库将疾病与潜在的小分子化合物联系起来,有助于药物发现和治疗探索.

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科学领域:

  • 药理学 药理学是指药理学的学科.
  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 遗传学的洞察力对药物重新定位越来越重要,2021年FDA批准的三分之二的药物具有遗传支持.
  • 全基因组关联研究 (GWAS) 数据集为基因驱动的药物发现提供了重大机会.

研究的目的:

  • 通过整合GWAS数据来开发PharmGWAS,这是一个全面的知识库,用于识别候选药物.
  • 通过基因和药物签名之间的反向关系,在疾病和小分子化合物之间建立新的联系.

主要方法:

  • 收集和处理了1929年GWAS数据集和724,485个药物干扰签名,用于33,609种化合物.
  • 实施了六种不同的连接方法,以确保对反向连接的可靠预测.
  • 整合基因表达特征与药物诱导特征,以识别疾病药物对.

主要成果:

  • 在PharmGWAS中包含740,227种基因信息的疾病药物对.
  • 该知识库提供了基于遗传证据的药物重新用途的宝贵目录.
  • 一个用户友好的网页界面促进了药物发现和治疗选择的探索.

结论:

  • 对于识别新药候选药物和探索药物组合疗法,PharmGWAS是一个宝贵的资源.
  • 该平台可以帮助了解耐药性和副作用.
  • PharmGWAS支持基于遗传学的药物发现和重新利用策略.