自抑制蛋白数据库:自抑制域及其自抑制机制的精心策划的数据库
Daeahn Cho1, Hyang-Mi Lee1, Ji Ah Kim1
1Department of Biomedical Engineering, Chung-Ang University, Seoul 06974, South Korea.
Database : the journal of biological databases and curation
|August 28, 2024
概括
自抑制是一种关键的细胞信号调节器,与疾病有关. 新的自抑制蛋白数据库 (AiPD) 标准化了这些蛋白质的信息,有助于药物发现和疾病研究.
科学领域:
- 生物化学 生物化学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 自抑制是细胞信号传递中的一个关键的全性自我调节机制.
- 自抑制蛋白质的失调与人类疾病有关,使它们成为治疗点.
- 对自身抑制蛋白质缺乏全面的知识库,阻碍了药物发现工作.
研究的目的:
- 引入自身抑制蛋白数据库 (AiPD),这是一个针对自身抑制蛋白的精心策划的资源.
- 标准化和集中有关自身抑制领域 (AIDs),目标,调控和疾病影响的信息.
- 为调查查询序列中的潜在AID提供一个工具.
主要方法:
- 从已出版的文献收集精心策划的数据.
- 包括实验特征和计算预测的自抑制蛋白质和AIDs.
- 为标准化信息检索和序列分析开发数据库.
主要成果:
- AiPD包含了来自532个实验性特征蛋白的698个AID和来自2096个同类蛋白的2695个AID的信息.
- 该数据库包括42520个计算预测的AID.
- AiPD提供了一个用户友好的界面,用于探索自身抑制及其与人类疾病的相关性.
结论:
- AiPD是第一个专门用于自身抑制蛋白质的存储库,大大推进了该领域的研究.
- 该数据库支持对自身抑制机制,疾病变化和药物标识的研究.
- 对于研究人员,计算建模人员和药物发现科学家来说,AiPD是一个宝贵的资源.
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