4.6

CiteScore

2.2

Impact Factor
  • ISSN 1674-8301
  • CN 32-1810/R
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[J]. The Journal of Biomedical Research, 2024, 38(3): 195-205. DOI: 10.7555/JBR.37.20230082
Citation: 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[J]. The Journal of Biomedical Research, 2024, 38(3): 195-205. DOI: 10.7555/JBR.37.20230082

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

  • 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.
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