GETdb:用于药物点的遗传和进化特征的综合数据库
Qi Zhang1, Yang He1, Ya-Ping Lu2,3
1Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, PR China.
Computational and structural biotechnology journal
|April 15, 2024
概括
一个新的数据库,GETdb,整合了药物点的遗传和进化数据. 该资源有助于识别新药标,并通过包括全蛋白预测来加速药物发现.
科学领域:
- 生物化学 生物化学
- 基因组学就是基因组学.
- 药物发现 药物发现 药物发现
背景情况:
- 药物标的识别对于有效的药物开发至关重要.
- 遗传和进化信息可以增强目标识别.
- 阿洛斯特蛋白代表了有希望的,但尚未被充分探索的药物标.
研究的目的:
- 创建一个全面的数据库,整合药物点的遗传和进化特征.
- 开发一种有效的模型来预测全性蛋白质.
- 为了促进新药标的发现和加速药物开发管道.
主要方法:
- 来自众多药物和目标数据库的综合和标准化数据.
- 已知药物点的内置遗传和进化信息.
- 开发并实施了一种全性蛋白质预测模型.
主要成果:
- 构建了药物目标数据库 (GETdb) 的遗传和进化特征.
- GETdb包含大约4000个目标和超过29000种药物.
- 数据库包括一个有效的全蛋白预测模型.
结论:
- GETdb提供了一个独特的,用户友好的资源,用于药物目标识别.
- 遗传,进化和异质信息的整合加速了新目标的发现.
- 这个数据库支持研究人员开发新疗法.
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