Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783464119386505216 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6821302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wilsonjenniferl pathfxwebawebapplicationforidentifyingdrugsafetyandefficacyphenotypes AT wongmike pathfxwebawebapplicationforidentifyingdrugsafetyandefficacyphenotypes AT chalkeajinkya pathfxwebawebapplicationforidentifyingdrugsafetyandefficacyphenotypes AT stepanovnicholas pathfxwebawebapplicationforidentifyingdrugsafetyandefficacyphenotypes AT petkovicdragutin pathfxwebawebapplicationforidentifyingdrugsafetyandefficacyphenotypes AT altmanrussb pathfxwebawebapplicationforidentifyingdrugsafetyandefficacyphenotypes |