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

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...

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Autores principales: Wilson, Jennifer L., Racz, Rebecca, Liu, Tianyun, Adeniyi, Oluseyi, Sun, Jielin, Ramamoorthy, Anuradha, Pacanowski, Michael, Altman, Russ
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6285459/
https://www.ncbi.nlm.nih.gov/pubmed/30532240
http://dx.doi.org/10.1371/journal.pcbi.1006614
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author Wilson, Jennifer L.
Racz, Rebecca
Liu, Tianyun
Adeniyi, Oluseyi
Sun, Jielin
Ramamoorthy, Anuradha
Pacanowski, Michael
Altman, Russ
author_facet Wilson, Jennifer L.
Racz, Rebecca
Liu, Tianyun
Adeniyi, Oluseyi
Sun, Jielin
Ramamoorthy, Anuradha
Pacanowski, Michael
Altman, Russ
author_sort Wilson, Jennifer L.
collection PubMed
description 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.
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spelling pubmed-62854592018-12-28 PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development Wilson, Jennifer L. Racz, Rebecca Liu, Tianyun Adeniyi, Oluseyi Sun, Jielin Ramamoorthy, Anuradha Pacanowski, Michael Altman, Russ PLoS Comput Biol Research Article 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. Public Library of Science 2018-12-07 /pmc/articles/PMC6285459/ /pubmed/30532240 http://dx.doi.org/10.1371/journal.pcbi.1006614 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Wilson, Jennifer L.
Racz, Rebecca
Liu, Tianyun
Adeniyi, Oluseyi
Sun, Jielin
Ramamoorthy, Anuradha
Pacanowski, Michael
Altman, Russ
PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development
title PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development
title_full PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development
title_fullStr PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development
title_full_unstemmed PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development
title_short PathFX provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development
title_sort pathfx provides mechanistic insights into drug efficacy and safety for regulatory review and therapeutic development
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6285459/
https://www.ncbi.nlm.nih.gov/pubmed/30532240
http://dx.doi.org/10.1371/journal.pcbi.1006614
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