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Quantifying the probability of pharmacological success to inform compound progression decisions

机译:量化药理学成功的可能性,以提供复合进展决策

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摘要

The Probability of Pharmacology Success, or PoPS, is a powerful metric to inform progression decisions by quantifying a compound’s overall pharmacological strength based on its mechanism. It is defined as the probability that X level of pharmacology is achieved in Y proportion of patients at a safe dose. The importance of adequate drug exposure, target engagement and functional pharmacology for enabling a compound’s efficacy is widely recognized. The PoPS estimates how well these conditions are met by integrating the compound’s pharmacological properties and the target’s modulation needs for the intended indication, in a pharmacometric model that includes the knowledge uncertainty. We use examples to illustrate how it can be used to compare drug candidates under specified benefit and risk conditions, support first-in-human decisions based on exposure limits, advise preclinical lead optimisation, and define clinical-trial populations.
机译:药理学成功或流行的概率是一种强大的公制,通过量化基于其机制的化合物的整体药理学强度来告知进展决策。 它被定义为药理学的概率,在y安全剂量的患者的y比例中实现。 众所周度地识别适当药物暴露,目标接合和功能药理的重要性,以实现化合物的功效。 POPS估计通过将化合物的药理学性质和目标的调节需求集成在包括知识不确定性的药物模型中,通过整合化合物的药理学性质和目标调节需求来估计这些条件。 我们使用示例来说明如何使用指定利益和风险条件的药物候选人,支持基于接触限值的先进性决策,建议临床前铅优化,并定义临床试验。

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