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PathFXweb: a web application for identifying drug safety and efficacy phenotypes

SUMMARY: Limited efficacy and intolerable safety limit therapeutic development and identification of potential liabilities earlier in development could significantly improve this process. Computational approaches which aggregate data from multiple sources and consider the drug’s pathways effects cou...

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Detalles Bibliográficos
Autores principales: Wilson, Jennifer L, Wong, Mike, Chalke, Ajinkya, Stepanov, Nicholas, Petkovic, Dragutin, Altman, Russ B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821302/
https://www.ncbi.nlm.nih.gov/pubmed/31114840
http://dx.doi.org/10.1093/bioinformatics/btz419
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author Wilson, Jennifer L
Wong, Mike
Chalke, Ajinkya
Stepanov, Nicholas
Petkovic, Dragutin
Altman, Russ B
author_facet Wilson, Jennifer L
Wong, Mike
Chalke, Ajinkya
Stepanov, Nicholas
Petkovic, Dragutin
Altman, Russ B
author_sort Wilson, Jennifer L
collection PubMed
description SUMMARY: Limited efficacy and intolerable safety limit therapeutic development and identification of potential liabilities earlier in development could significantly improve this process. Computational approaches which aggregate data from multiple sources and consider the drug’s pathways effects could add to identification of these liabilities earlier. Such computational methods must be accessible to a variety of users beyond computational scientists, especially regulators and industry scientists, in order to impact the therapeutic development process. We have previously developed and published PathFX, an algorithm for identifying drug networks and phenotypes for understanding drug associations to safety and efficacy. Here we present a streamlined and easy-to-use PathFX web application that allows users to search for drug networks and associated phenotypes. We have also added visualization, and phenotype clustering to improve functionality and interpretability of PathFXweb. AVAILABILITY AND IMPLEMENTATION: https://www.pathfxweb.net/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-68213022019-11-04 PathFXweb: a web application for identifying drug safety and efficacy phenotypes Wilson, Jennifer L Wong, Mike Chalke, Ajinkya Stepanov, Nicholas Petkovic, Dragutin Altman, Russ B Bioinformatics Applications Notes SUMMARY: Limited efficacy and intolerable safety limit therapeutic development and identification of potential liabilities earlier in development could significantly improve this process. Computational approaches which aggregate data from multiple sources and consider the drug’s pathways effects could add to identification of these liabilities earlier. Such computational methods must be accessible to a variety of users beyond computational scientists, especially regulators and industry scientists, in order to impact the therapeutic development process. We have previously developed and published PathFX, an algorithm for identifying drug networks and phenotypes for understanding drug associations to safety and efficacy. Here we present a streamlined and easy-to-use PathFX web application that allows users to search for drug networks and associated phenotypes. We have also added visualization, and phenotype clustering to improve functionality and interpretability of PathFXweb. AVAILABILITY AND IMPLEMENTATION: https://www.pathfxweb.net/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-11-01 2019-05-22 /pmc/articles/PMC6821302/ /pubmed/31114840 http://dx.doi.org/10.1093/bioinformatics/btz419 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Wilson, Jennifer L
Wong, Mike
Chalke, Ajinkya
Stepanov, Nicholas
Petkovic, Dragutin
Altman, Russ B
PathFXweb: a web application for identifying drug safety and efficacy phenotypes
title PathFXweb: a web application for identifying drug safety and efficacy phenotypes
title_full PathFXweb: a web application for identifying drug safety and efficacy phenotypes
title_fullStr PathFXweb: a web application for identifying drug safety and efficacy phenotypes
title_full_unstemmed PathFXweb: a web application for identifying drug safety and efficacy phenotypes
title_short PathFXweb: a web application for identifying drug safety and efficacy phenotypes
title_sort pathfxweb: a web application for identifying drug safety and efficacy phenotypes
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821302/
https://www.ncbi.nlm.nih.gov/pubmed/31114840
http://dx.doi.org/10.1093/bioinformatics/btz419
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