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磷酸化蛋白质芯片结合人工智能工具用于精准药物筛选。

Phosphorylated protein chip combined with artificial intelligence tools for precise drug screening.

作者信息

Horimoto Katsuhisa, Suyama Yuki, Sasaki Tadamasa, Fukui Kazuhiko, Feng Lili, Sun Meiling, Tang Yamin, Zhang Yixuan, Chen Dongyin, Han Feng

机构信息

SOCIUM Inc., Tokyo 1350064, Japan.

International Medical Center, Saitama Medical University, Saitama 350-1298, Japan.

出版信息

J Biomed Res. 2024 May 27;38(3):195-205. doi: 10.7555/JBR.37.20230082.

Abstract

We have developed a protein array system, named "Phospho-Totum", which reproduces the phosphorylation state of a sample on the array. The protein array contains 1471 proteins from 273 known signaling pathways. According to the activation degrees of tyrosine kinases in the sample, the corresponding groups of substrate proteins on the array are phosphorylated under the same conditions. In addition to measuring the phosphorylation levels of the 1471 substrates, we have developed and performed the artificial intelligence-assisted tools to further characterize the phosphorylation state and estimate pathway activation, tyrosine kinase activation, and a list of kinase inhibitors that produce phosphorylation states similar to that of the sample. The Phospho-Totum system, which seamlessly links and interrogates the measurements and analyses, has the potential to not only elucidate pathophysiological mechanisms in diseases by reproducing the phosphorylation state of samples, but also be useful for drug discovery, particularly for screening targeted kinases for potential drug kinase inhibitors.

摘要

我们开发了一种名为“Phospho-Totum”的蛋白质阵列系统,该系统可在阵列上重现样品的磷酸化状态。该蛋白质阵列包含来自273条已知信号通路的1471种蛋白质。根据样品中酪氨酸激酶的激活程度,阵列上相应的底物蛋白组在相同条件下被磷酸化。除了测量1471种底物的磷酸化水平外,我们还开发并应用了人工智能辅助工具,以进一步表征磷酸化状态,并估计信号通路激活、酪氨酸激酶激活情况,以及生成与样品磷酸化状态相似的激酶抑制剂列表。Phospho-Totum系统无缝连接并询问测量和分析结果,不仅有可能通过重现样品的磷酸化状态来阐明疾病的病理生理机制,还可用于药物发现,特别是用于筛选潜在药物激酶抑制剂的靶向激酶。

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