ArticlePharmaceutical science advances2025
Physiologically based pharmacokinetic (PBPK) modeling of drug-drug interactions between suraxavir marboxil and CYP3A4 inhibitors: Quantitative prediction of pharmacokinetic effects on active metabolite GP1707D07.
Article in Pharmaceutical science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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13 authors.
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Abstract
Suraxavir marboxil (GP681) is a promising novel prodrug influenza polymerase acidic (PA) inhibitor whose active metabolite, suraxavir (GP1707D07), is primarily metabolized by cytochrome P450 3A4 (CYP3A4), raising concerns about drug-drug interactions (DDI) with CYP3A4 inhibitors. Traditional DDI assessment methods are limited for evaluating all potential combinations. This study aimed to develop a physiologically based pharmacokinetic (PBPK) model to predict the DDI risk between GP681 and CYP3A4 inhibitors of varying potency. The model was developed based on physicochemical and in vitro parameters, as well as clinical data, including a phase I single ascending dose study of GP681 tablets and a single-center phase I study evaluating the DDI between GP681 and strong CYP3A4 inhibitor itraconazole. The model was successfully verified against clinical data, with predicted-to-observed ratios for GP1707D07 exposure under itraconazole co-administration of AUC and C
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