GotEnzymes2:扩大对酶动力学和热性质的覆盖范围
Bingxue Lyu1,2, Ke Wu1,2, Yuanyuan Huang3
1Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055,China.
Nucleic acids research
|October 31, 2025
概括
GotEnzymes2是一个新的数据库,提供了超过1万种类型的酶动力和热参数. 该资源有助于酶发现和工程系统和代谢生物学应用.
科学领域:
- 生物化学和分子生物学
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 实验测量的酶动力学参数很少,限制了对新陈代谢的理解.
- 现有的资源缺乏关于不同物种的酶催化和热性质的全面数据.
研究的目的:
- 介绍GotEnzymes2,一个扩展的酶运动和热参数数据库.
- 为了提供一个统一的资源来预测关键的酶特性,如kcat,Km和化温度.
- 支持数据驱动的酶发现,设计和工程.
主要方法:
- 系统地对最先进的模型进行基准测试,用于催化和热参数预测.
- 整合表现最好的预测策略,以提高准确性和可概括性.
- 与以前的版本相比,物种和酶覆盖范围的扩大.
主要成果:
- GotEnzymes2涵盖了10765个物种,730万个酶和5960万个独特的条目.
- 该数据库整合了催化和热参数,以实现统一的预测.
- 代表了迄今为止最全面的酶动力学和稳定性参数数据库.
结论:
- GotEnzymes2为科学界提供了一个强大的,公开可访问的资源.
- 促进系统生物学,代谢工程和合成生物学方面的进步.
- 能够在酶功能和工程方面进行更广泛的数据驱动研究.
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