化蛋白芯片与人工智能工具相结合,用于精确的药物查
Katsuhisa Horimoto1,2,3, Yuki Suyama1, Tadamasa Sasaki1
1SOCIUM Inc., Tokyo 1350064, Japan.
Journal of biomedical research
|May 27, 2024
概括
我们开发了Phospho-Totum,一种蛋白质阵列系统,可复制样本酸化状态. 该工具有助于了解疾病机制,并发现药物开发的向激酶抑制剂.
科学领域:
- 生物化学 生物化学
- 分子生物学分子生物学
- 系统生物学 系统生物学
背景情况:
- 蛋白质酸化是细胞信号传输中的关键调节机制.
- 不调节的酸化与包括癌症在内的各种疾病有关.
- 目前分析全球酸化模式的方法可能有限.
研究的目的:
- 开发一种新的蛋白质阵列系统,Phospho-Totum,用于对样本酸化状态的全面分析.
- 利用人工智能 (AI) 来对酸化数据进行先进的表征.
- 探索用于阐明疾病机制和药物发现的应用.
主要方法:
- 开发了含有来自273个信号通路的1471种蛋白质的-托蛋白质阵列.
- 在基于激酶激酶激活的阵列上复制样本特定的酸化状态.
- 采用人工智能辅助工具来估计路径和激酶激活,以及抑制剂查.
主要成果:
- 在一个大规模的蛋白质阵列上成功复制了样本酸化状态.
- 能够测量1471种基质的酸化水平.
- 由人工智能驱动的洞察力对途径激活,激酶活性和潜在的治疗点产生.
结论:
- -托系统为研究酸化动态提供了一个强大的平台.
- 这项技术可以通过反射样本酸化来阐明疾病病理生理学.
- 它对药物发现具有重大潜力,特别是在识别激酶抑制剂方面.
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