摘要
大规模基因表达谱技术通过生成或整合大量药物诱导的基因表达数据,并运用人工智能算法进行匹配分析,以识别药物-基因及疾病间的复杂关系和功能网络,推动药物研究的发展。中药因其多成分、多靶点、多途径的复杂作用机制,传统的研究方法往往难以全面解析其生物学效应。基于大规模基因表达谱融合人工智能的药物研发策略展现了独特优势,其核心在于无需依赖特定药物靶点或作用机制等先验知识。该文全面综述了大规模基因表达谱技术在中药研究中的创新性应用,同时概述了大规模基因表达谱的发展历程、模式匹配算法优化及相关数据库建设方面的最新进展。总而言之,基于大规模基因表达谱融合人工智能技术为中药的现代化应用和理论创新提供了一种强有力的假设生成工具。
Large-scale gene expression profiling technologies generate or integrate substantial amounts of drug-induced gene expression data and apply artificial intelligence algorithms for pattern matching and association analysis.This approach facilitates the identification of complex relationships and functional networks between drugs,genes,and diseases,thereby significantly advancing drug research.Traditional Chinese medicine(TCM),with its characteristic multi-component,multitarget,and multi-pathway mechanisms,often poses challenges for comprehensive elucidation of its biological effects through conventional methodologies.The drug discovery strategy that combines large-scale gene expression profiling with artificial intelligence offers distinct advantages,particularly in its ability to operate without the need for prior knowledge of speci fic drug targets or mechanisms of action.This review comprehensively examines the innovative applications of large-scale gene expression profiling technologies in TCM research,while also summarizing recent advancements in the development of these technologies,the optimization of pattern matching algorithms,and the construction of related databases.In summary,the integration of large-scale gene expression profiling with artificial intelligence provides a powerful hypothesis-generating tool for the modern application and theoretical innovation of TCM.
作者
陈凤鸣
赵冉冉
韩星星
李欢
唐志书
CHEN Feng-ming;ZHAO Ran-ran;HAN Xing-xing;LI Huan;TANG Zhi-shu(State 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,100007,China;Beijing University of Chinese Medicine,Beijing,100105,China)
出处
《中国中药杂志》
CAS
CSCD
北大核心
2024年第23期6291-6301,共11页
China Journal of Chinese Materia Medica
基金
国家自然科学基金面上项目(82274107)
国家中医药管理局中医药传承与创新“百千万”人才工程(岐黄工程)岐黄学者项目。
关键词
大规模基因表达谱
中药
人工智能算法
模式匹配
large-scale gene expression profiles
traditional Chinese medicine(TCM)
artificial intelligence algorithms
pattern matching
