Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, PR China.
Bioinformatics. 2010 Feb 15;26(4):587-8. doi: 10.1093/bioinformatics/btp697. Epub 2009 Dec 23.
Rapid advances in pharmaceutical sciences have brought ever-increasing interests in combined therapies for better clinical efficacy and safety, especially in cases of complicated and refractory diseases. Innovative experimental technologies and theoretical frameworks are being actively developed for multicomponent drug research. In this work, we present the Drug Combination Database, with aims to facilitate analyses of known drug combinations, to summarize patterns of beneficial drug interactions, and to provide a basis for theoretical modeling and simulation of such drug interactions. Its current version (1.0) collected 499 approved or investigational drug combinations, including 40 unsuccessful drug combinations, involving 485 individual drugs, from >6000 references.
药物科学的快速发展使得联合治疗越来越受到关注,以提高临床疗效和安全性,特别是在复杂和难治性疾病的情况下。多组分药物研究的创新实验技术和理论框架正在积极开发中。在这项工作中,我们提出了药物组合数据库,旨在促进对已知药物组合的分析,总结有益药物相互作用的模式,并为这些药物相互作用的理论建模和模拟提供基础。其当前版本(1.0)收集了 499 种已批准或正在研究的药物组合,包括 40 种不成功的药物组合,涉及 485 种单独的药物,来自>6000 个参考文献。