PKAD-R:精心策划,重新设计和扩展了蛋白质中的实验pKa值数据库
Ada Y Chen1, Shailesh K Panday2, Kaoru Ri3
1Laboratory of Computational Biology, National Heart, Lung and Blood Institute, NIH, Bethesda, MD 20892.
Journal of computational biophysics and chemistry
|October 16, 2025
概括
PKAD-R是一个新的,精心策划的数据库,用于实验确定蛋白质pKa值. 这个更新的资源增强了可用性,并扩展了蛋白质科学中机器学习应用的数据.
科学领域:
- 生物化学 生物化学
- 结构生物学 结构生物学
- 计算生物学 计算生物学
背景情况:
- 蛋白质pKa值对于理解蛋白质结构,功能和相互作用至关重要.
- 像PKAD和PKAD-2这样的现有数据库提供了基础数据,但需要更新和改进.
研究的目的:
- 提出PKAD-R,一个更新和增强的实验确定蛋白质pKa值的数据库.
- 通过仔细的策划和数据库重新设计来提高数据质量,以提高可用性.
- 将科学文献中的新条目扩展数据库.
主要方法:
- 系统的数据整理,以删除不正确和整合冗余条目.
- 数据库重新设计,包括蛋白质/物种名称,注释和序列标识.
- 文献挖掘以识别和纳入新的实验确定 pKa 值.
主要成果:
- PKAD-R包含877个独特的pKa条目用于野生类型结构和147个用于突变结构.
- 从文献中增加了214个新的pKa条目 (128个非冗余).
- 该数据库提供模块化,具有替代的pKa值和结构,供用户选择.
结论:
- 对于研究蛋白质pKa值的研究人员来说,PKAD-R提供了一个有价值的,最新的资源.
- 该数据库适用于机器学习应用程序,并为各种用户需求提供灵活性.
- 持续更新将确保PKAD-R仍然是蛋白质pKa数据的全面存储库.
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