Shakiba Fadaei1, Fanny S Krebs2, Vincent Zoete3,4

  • 1Computer-Aided Molecular Engineering, Department of Oncology UNIL-CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.

Scientific reports
|March 3, 2026
PubMed
概括

这项研究引入了一种使用物理化学特性来分类人类蛋白激酶的新方法,包括以前未被分类的蛋白激酶. 这种机器学习方法提高了比传统的遗传学方法更准确的准确性.

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