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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-6285459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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