上海中医药杂志2026，Vol.60Issue(2)：1-10,10.DOI:10.16305/j.1007-1334.2026.z20250919002
机器学习算法在中药活性成分筛选中的应用
Application of machine learning algorithms in screening of active components in Chinese materia medica
摘要
Abstract
Chinese materia medica(CMM),as a complex chemical system,has long faced challenges in active components screening,such as the high compositional diversity and unclear mechanisms of action.In recent years,the integration of machine learning algorithms has provided a new paradigm for the modernization of CMM research.This paper systematically reviews the classification of machine learning algorithms and explores their application scenarios,technical challenges,and optimization strategies in the screening of active components from CMM.关键词
人工智能/中药/活性成分/机器学习/大语言模型/算法Key words
artificial intelligence/Chinese materia medica/active components/machine learning/large language models/algorithms引用本文复制引用
张能仪,李园园,王天明..机器学习算法在中药活性成分筛选中的应用[J].上海中医药杂志,2026,60(2):1-10,10.基金项目
国家自然科学基金项目(82404823) （82404823）
上海中医药大学科技发展项目(23KFL043) （23KFL043）
