The present invention provides a method of using a physiologically-based pharmacokinetic model to select a prodrug molecule (NO—X) comprising a therapeutic agent X (e.g. nonsteroidal anti-inflammatory drug, (NSAID)) and an appropriate nitric oxide donor NO. The NSAID can be a non-selective or selective cyclooxygenase inhibitor or other biocompatible compound comprising a carboxyl group. The pharmacokinetic model uses in vitro and/or in silico data to estimate an optimal set of parameters that can predict whether a particular NO—X candidate is capable of producing desirable therapeutic effects, e.g. enhanced anti-inflammatory activity, reduced intestinal, cardiac and renal toxicity. Accordingly, the present invention can greatly enhance proper selection of an appropriate candidate for drug development, thereby minimizing development time and conserving costs.
本发明提供了一种使用基于生理学的药代动力学模型选择一种前药分子(NO—X)的方法,该前药分子包括一种治疗剂X(例如非甾体抗炎药(N
SAID))和一个适当的
一氧化氮供体NO。N
SAID可以是非选择性或选择性环氧化酶
抑制剂或其他
生物相容性化合物,包括羧基。药代动力学模型使用体外和/或体内计算数据来估计一组最佳参数,可以预测特定的NO—X候选者是否能够产生理想的治疗效果,例如增强抗炎活性,减少肠道,心脏和肾脏毒性。因此,本发明可以极大地增强适当选择药物开发的合适候选者,从而最小化开发时间并节约成本。