PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development

Jennifer L Wilson, Rebecca Racz, Tianyun Liu, Oluseyi Adeniyi, Jielin Sun, Anuradha Ramamoorthy, Michael Pacanowski and Russ Altman

PLOS Computational Biology, 2018, vol. 14, issue 12, 1-27

Abstract: Failure to demonstrate efficacy and safety issues are important reasons that drugs do not reach the market. An incomplete understanding of how drugs exert their effects hinders regulatory and pharmaceutical industry projections of a drug’s benefits and risks. Signaling pathways mediate drug response and while many signaling molecules have been characterized for their contribution to disease or their role in drug side effects, our knowledge of these pathways is incomplete. To better understand all signaling molecules involved in drug response and the phenotype associations of these molecules, we created a novel method, PathFX, a non-commercial entity, to identify these pathways and drug-related phenotypes. We benchmarked PathFX by identifying drugs’ marketed disease indications and reported a sensitivity of 41%, a 2.7-fold improvement over similar approaches. We then used PathFX to strengthen signals for drug-adverse event pairs occurring in the FDA Adverse Event Reporting System (FAERS) and also identified opportunities for drug repurposing for new diseases based on interaction paths that associated a marketed drug to that disease. By discovering molecular interaction pathways, PathFX improved our understanding of drug associations to safety and efficacy phenotypes. The algorithm may provide a new means to improve regulatory and therapeutic development decisions.Author summary: Many drugs fail to reach the market because they are not sufficiently efficacious for their disease indication or they cause intolerable side-effects. To understand drug efficacy and safety, we created an algorithm, PathFX. The algorithm identified relationships between drugs and diseases, and drugs and side-effects. We tested PathFX’s ability to identify the disease for which the drug was developed. We applied PathFX to post-marketing reports of drug side effects and identified drug side effects where regulatory review was ambiguous. Finally, we identified novel diseases for which marketed drugs could treat. The method has the potential to be a tool for assessing drug safety and efficacy during development and may have utility for regulators and industry scientists.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1006614

DOI: 10.1371/journal.pcbi.1006614

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