Li Xiao Xu, Yin Jiayi, Tang Jing, Li Yinghong, Yang Qingxia, Xiao Ziyu, Zhang Runyuan, Wang Yunxia, Hong Jiajun, Tao Lin, Xue Weiwei, Zhu Feng
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing, China.
Front Pharmacol. 2018 Oct 31;9:1245. doi: 10.3389/fphar.2018.01245. eCollection 2018.
One of the most challenging puzzles in drug discovery is the identification and characterization of candidate drug of well-balanced profile between efficacy and safety. So far, extensive efforts have been made to evaluate this balance by estimating the quantitative structure-therapeutic relationship and exploring target profile of adverse drug reaction. Particularly, the therapeutic index (TI) has emerged as a key indicator illustrating this delicate balance, and a clinically successful agent requires a sufficient TI suitable for it corresponding indication. However, the TI information are largely unknown for most drugs, and the mechanism underlying the drugs with narrow TI (NTI drugs) is still elusive. In this study, the collective effects of human protein-protein interaction (PPI) network and biological system profile on the drugs' efficacy-safety balance were systematically evaluated. First, a comprehensive literature review of the FDA approved drugs confirmed their NTI status. Second, a popular feature selection algorithm based on was adopted to identify key factors differencing the target mechanism between NTI and non-NTI drugs. Finally, this work revealed that the targets of NTI drugs were highly centralized and connected in human PPI network, and the number of similarity proteins and affiliated signaling pathways of the corresponding targets was much higher than those of non-NTI drugs. These findings together with the newly discovered features or feature groups clarified the key factors indicating drug's narrow TI, and could thus provide a novel direction for determining the delicate drug efficacy-safety balance.
药物研发中最具挑战性的难题之一是识别和表征在疗效与安全性方面具有良好平衡的候选药物。到目前为止,人们已经做出了广泛的努力,通过估计定量构效关系和探索药物不良反应的靶点特征来评估这种平衡。特别是,治疗指数(TI)已成为说明这种微妙平衡的关键指标,临床上成功的药物需要有足够的TI以适合其相应适应症。然而,大多数药物的TI信息很大程度上未知,而且窄治疗指数药物(NTI药物)的潜在机制仍然难以捉摸。在本研究中,系统评估了人类蛋白质-蛋白质相互作用(PPI)网络和生物系统特征对药物疗效-安全性平衡的综合影响。首先,对FDA批准药物进行全面的文献综述以确认其NTI状态。其次,采用一种基于流行的特征选择算法来识别区分NTI药物和非NTI药物靶点机制的关键因素。最后,这项工作表明NTI药物的靶点在人类PPI网络中高度集中且相互连接,相应靶点的相似蛋白数量和附属信号通路数量远高于非NTI药物。这些发现与新发现的特征或特征组一起阐明了表明药物窄TI的关键因素,从而可为确定微妙的药物疗效-安全性平衡提供新方向。