Drug combination therapy is the combination of two or more drugs in the form of"formulas"to achieve the effect of increasing efficacy and reducing toxicity.It has achieved good results in the treatment of various complex diseases and overcoming drug resistance in patients.In the past few decades,Western medicine has gradually increased its efforts in the development of combination drugs and has achieved good results in the discovery and screening techniques of combination drugs.Traditional Chinese medicine(TCM),with the characteristics of"multi-components,multi-targets,and multi-pathways",is a reliable ingredient library for synergistic drug combinations due to its years of clinical use.This paper summarizes the application of combinatorial drug discovery methods in the past decade,including systems biology,histology,machine learning,and mathematical modeling.It also explains the advantages and shortcomings of each method.It aims to provide new ideas and approaches for identifying potential combinations of active ingredients in traditional Chinese medicine,reducing blind tests and studies,and evaluating the interaction relationships of drug combinations.
combination drugsystems biologymathematical modelingTCM formulaecombination of active ingredients in TCM
维普
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