Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Clin Pharmacol Ther. 2010 Jul;88(1):120-5. doi: 10.1038/clpt.2010.91. Epub 2010 Jun 2.
Systems biology provides a platform for integrating multiple components and interactions underlying cell, organ, and organism processes in health and disease. Beyond traditional approaches focused on individual molecules or pathways, bioinformatic network analysis of high-throughput data sets offers an opportunity for integration of biological complexity and multilevel connectivity. Emerging applications in rational drug discovery range from targeting and modeling disease-corrupted networks to screening chemical or ligand libraries to identification/validation of drug-target interactions for improved efficacy and safety.
系统生物学为整合健康和疾病状态下细胞、器官和生物体过程中的多个组成部分和相互作用提供了一个平台。与传统的专注于单个分子或途径的方法不同，高通量数据集的生物信息网络分析为整合生物复杂性和多层次连接性提供了机会。在合理药物发现中的新兴应用包括针对和模拟疾病相关的网络，筛选化学或配体文库，以及鉴定/验证药物靶点相互作用以提高疗效和安全性。
