StoneMod 2.0:对结石调节蛋白的数据库和预测
Supatcha Sassanarakkit1, Paleerath Peerapen1, Visith Thongboonkerd1
1Medical Proteomics Unit, Research Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
International journal of biological macromolecules
|February 3, 2024
概括
StoneMod 2.0是一个扩展的结石调节器数据库,识别了17130种蛋白质. 此资源有助于研究预防结石形成,使用一种新的评分系统.
科学领域:
- 生物化学 生物化学
- 分子生物学分子生物学
- 腎臟病學 (nephrology) 是一種神經病學.
背景情况:
- 结石的形成受到各种石块调节蛋白的影响.
- 以前的研究发现了有限数量的这些蛋白质,需要更全面的资源.
- 了解这些调节器是制定结石预防策略的关键.
研究的目的:
- 介绍StoneMod 2.0,一个更新和显著扩展的石头调制蛋白质数据库.
- 为研究结石形成和预防的研究人员提供一个强大的平台.
- 实施一个评分系统来分类潜在的石材调节蛋白.
主要方法:
- 扩展了数据库,包括17,130个调节蛋白,来源于实验 (PubMed) 和预测 (UniProtKB,QuickGO,ProRule,STITCH,OxaBIND) 证据.
- 开发了一个评分系统,将蛋白质分类为"固体" (评分≥50) 或"弱" (评分<50) 调节器.
- 通过用户友好的界面和先进的可视化工具增强了数据库,包括在线提交新证据.
主要成果:
- StoneMod 2.0 数据库现在包含17,130个石材调节蛋白,比上一个版本大幅增加.
- 一个评分系统已经成功地实施,以区分固体和弱模块.
- 该数据库为研究人员提供了改进的可用性和可视化功能.
结论:
- StoneMod 2.0 代表了研究石材调节蛋白的强大和全面的资源.
- 数据库的预测评分系统将促进未来对预防结石的研究.
- 持续更新和用户提交功能确保数据库保持最新和相关.
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