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

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

Journal of Biomedical Research ›› 2024, Vol. 38 ›› Issue (3) : 195 -205.

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Journal of Biomedical Research ›› 2024, Vol. 38 ›› Issue (3) :195 -205. DOI: 10.7555/JBR.37.20230082
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Phosphorylated protein chip combined with artificial intelligence tools for precise drug screening
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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.

Keywords

Phospho-Totum / protein array / signal transduction pathways / artificial intelligence tools / drug screening

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Katsuhisa Horimoto, Yuki Suyama, Tadamasa Sasaki, Kazuhiko Fukui, Lili Feng, Meiling Sun, Yamin Tang, Yixuan Zhang, Dongyin Chen, Feng Han. Phosphorylated protein chip combined with artificial intelligence tools for precise drug screening. Journal of Biomedical Research, 2024, 38(3): 195-205 DOI:10.7555/JBR.37.20230082

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Fundings

This study was supported by the State Key Program of National Natural Science Foundation of China (Grant No. 82230114 to F.H.) and the National Key Research and Development Program of China (Grant No. 2022YFE0104800 to F.H.).

Acknowledgments

We thank Mr. Takahiro Ohshima (Infocom Corporation) for the development of analysis software and Mr. Ryuki Kudo and Mr. Atsushi Kawasaki for the development of visualization software.

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