解读具有深度神经网络的酸盐的功能景观
Zhongjie Liang1, Tonghai Liu2, Qi Li2
1Center for Systems Biology, Department of Bioinformatics, School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, China; Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou 215123, China.
Cell reports
|September 2, 2023
概括
这项研究介绍了FuncPhos-SEQ,这是一种深度学习模型,它将功能分配给人类的酸盐. 它通过ERK1/2识别了NADK-S48/50的酸化,激活了NADK的酶活性.
科学领域:
- 生物化学 生物化学
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 目前的方法只能发现很少的激酶和酸盐.
- 大多数矿的功能作用仍然未知.
研究的目的:
- 开发一种新的深度神经网络模型,FuncPhos-SEQ,用于人类酸盐的功能分配.
- 分析酶基质偏好,并确定新的酶基质相互作用.
主要方法:
- 集成深度神经网络 (DNN) 模型,包含序列动图的卷积神经网络 (CNN) 通道和蛋白质与蛋白质相互作用 (PPI) 网络的DNN通道.
- 为PPI网络功能嵌入网络.
- 在体外和细胞生化分析.
主要成果:
- FuncPhos-SEQ成功地将功能分配给人类的酸盐.
- 证实NADK-S48/50酸化可以激活NADK的酶活性.
- 确定了ERK1/2作为负责NADK-S48/50酸化的主要激酶.
结论:
- FuncPhos-SEQ为酸的功能赋值提供了一个强大的工具.
- 这项研究揭示了通过ERK1/2酸化对NADK活性的一种新型调节机制.
- FuncPhos-SEQ可以作为在线服务器用于更广泛的研究用途.
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