TTD:治疗目标数据库,描述目标药物可用性信息.
Ying Zhou1,2,3, Yintao Zhang1, Donghai Zhao1
1College of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Nucleic acids research
|September 15, 2023
概括
药物标的发现依赖于药物分析. 治疗目标数据库 (TTD) 系统地审查了目标,对可药性特征进行分类,以帮助创新药物开发.
科学领域:
- 药理学和药物开发领域
- 计算生物学和化学信息学
背景情况:
- 确定有效的药物点对于开发新疗法至关重要.
- 药物适应性分析评估了目标被药物样分子调节的潜力.
研究的目的:
- 系统地收集和分类药物目标的可吸毒性特征.
- 为促进药物目标发现和验证提供全面的资源.
主要方法:
- 在治疗目标数据库 (TTD) 中对目标进行系统审查.
- 从三个角度对九个可药性特征类别的分类:分子相互作用/调节,人体系统概况和基于细胞的表达变异.
- 分析了426个成功的,1014个临床试验,212个临床前/专利和1479个文献报告的目标.
主要成果:
- 对于大量的药物目标群体来说,建立了药物适应性特征.
- 根据分子,系统和细胞配置文件对目标进行分类.
- 治疗目标数据库 (TTD) 现在包括了广泛的可药性数据.
结论:
- TTD提供了一个有价值的,可访问的资源,用于探索可药性特征.
- 促进在现代药物开发中发现和验证创新的药物标.
- 技术的进步和协作努力提高了这些数据库的实用性.
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