[Application of large-scale gene expression profiling in modern research of traditional Chinese medicine].

Abstract

Large-scale gene expression profiling generates or integrates massive data of gene expression under drug induction and employs 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, multi-target, and multi-pathway mechanisms, poses challenges to conventional methodologies in the comprehensive elucidation of its biological effects. The drug discovery strategy that combines large-scale gene expression profiling with artificial intelligence offers distinct advantages since it does not need the prior knowledge of specific drug targets or mechanisms. This article comprehensively reviews the innovative applications of large-scale gene expression profiling in TCM research as well as the 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.