RESUMO
The efficacy of traditional Chinese medicine （TCM） and compound prescriptions is confirmed based on practical experience. It is a highly generalized expression of the clinical characteristics and scope of prescriptions and a unique expression of the medical effects of TCM. Network pharmacology， as a cross-disciplinary field based on the theory of systems biology and multi-level analysis of biological systems， has become a common virtual screening tool in TCM research and gradually developed with the progress in big data and artificial intelligence. In the context of modern medicine， the efficacy of TCM compound prescriptions has a vague concept and lacks scientific evidence. Elucidating the connotation of TCM efficacy and guiding TCM theoretical research has become one of the hotspots and difficulties in TCM research. This article explores the feasibility of using network pharmacology for the research on the efficacy of TCM compound prescriptions and investigates whether the research results can represent part of the efficacy of prescriptions. Furthermore， the research platforms and algorithms in this field are summarized. The research ideas and existing problems in this field are proposed from the aspects of efficacy concept embodiment， target screening， result verification， efficacy network building， and homogenization avoiding of network pharmacology research results. Finally， the future development directions are prospected. This article is expected to provide a reference for exploring the modern biological basis of the efficacy of TCM and compound prescriptions and for the clinical application and theoretical research of TCM.