随着疾病复杂机制的不断揭示和深入研究药物组合疗法以其协同增效、降低给药剂量、改善患者耐药性、提高依从性的优点成为了一种关键的治疗策略在治疗心血管疾病、抗癌、抗感染等方面都收到了不错的临床反馈1-3。截至目前已有逾四百种组合药物通过FDA审批并投入使用7。传统上药物组合的发现依赖于临床经验基础上的加减缺乏全面性、安全性。随着计算机技术和生物信息学的发展药物组合的发现已经向着高通量、高效率的方向转变利

With the continuous revelation and in-depth study of complex disease mechanisms, drug combination therapy has become a critical treatment strategy in cardiovascular diseases, cancer, and anti-infection due to its advantages such as synergistic effects, reduced dosage, improved patient resistance, and increased compliance. As of now, over 400 combination drugs have been approved by the FDA and put into use. Traditionally, drug combinations rely on clinical experience-based addition and subtraction, lacking comprehensiveness and safety. With the development of computer technology and bioinformatics, the discovery of drug combinations has shifted towards high-throughput and high-efficiency by utilizing omics databases, machine learning, and computational matrices to identify drug combinations with synergistic effects. This article reviews the design methods and applications of drug combinations in China and abroad, aiming to explore the synergistic effect combinations of components in traditional Chinese medicine and provide new modes and methods for the development of modern Chinese medicine new drugs