DAPredict:用于药物作用表型预测的数据库
Qingkang Meng1, Yiyang Cai1, Kun Zhou1
1Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Database : the journal of biological databases and curation
|January 19, 2024
概括
DAPredict是一个新的药物作用表型数据库和预测工具. 它有助于评估药物的有效性和安全性,有助于新药的发现和重新定位.
科学领域:
- 药物基因组学 药物基因组学
- 药物发现 药物发现 药物发现
- 计算生物学 计算生物学
背景情况:
- 药物作用表型,包括治疗效果和药物不良反应 (ADRs),对于药物开发和重新定位至关重要.
- 传统方法难以分析药物的作用机制,限制了创新.
研究的目的:
- 推出DAPredict,一个用户友好的数据库和药物作用表型的预测工具.
- 为了能够预测药物的疗效和安全性,促进药物重新定位和新药发现.
主要方法:
- 化学基因组学和药物基因组学原理的整合.
- 开发一种基于药物蛋白活性结构预测药物作用表型的新算法.
- 包括药物,副作用和解剖治疗化学物质 (ATC) 之间的广泛预测关系.
主要成果:
- DAPredict数据库包含超过3.05亿的已批准药物和ADR之间的预测关系.
- 数据库包括超过8300万的已批准药物和ATC分类之间的预测关系.
- 在线预测工具可用于超过1.1亿种化合物,包括天然产品.
结论:
- DAPredict通过预测作用表型和机制,促进跨类别的创新药物发现.
- 该工具有助于评估可用性和优化候选药物,以提高疗效和安全性.
- DAPredict支持药物重新定位和新疗法的开发.
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