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Updated: Mar 1, 2026

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IFTP-TCM:在传统中医药中用于目标预测和机制阐明的无成分可解释的框架

Fengming Chen1, Ranran Zhao1, Xingxing Han2

  • 1State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China.

Computational biology and chemistry
|February 28, 2026
PubMed
概括

IFTP-TCM是一个新的AI框架,可以预测传统中医药 (TCM) 的目标,而不需要化学数据. 这种可解释的AI工具克服了TCM的复杂性,用于精确的机制阐明,并推进了精确医学.

关键词:
基因扰动网络的基因扰动网络.高通量数据数据的高通量数据.作用机制 作用机制目标预测 目标预测传统中国医学 (TCM) 是一种不同的表达方式,不同的表达方式.

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