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ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures
The assessment of bioactivity and toxicity for mixtures remains a challenging work. Although several computational models have been developed to accelerate the evaluation of chemical-chemical interaction, a specific biological endpoint should be defined before applying the models that usually relies...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030136/ https://www.ncbi.nlm.nih.gov/pubmed/29968796 http://dx.doi.org/10.1038/s41598-018-28361-6 |
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author | Tung, Chun-Wei Wang, Chia-Chi Wang, Shan-Shan Lin, Pinpin |
author_facet | Tung, Chun-Wei Wang, Chia-Chi Wang, Shan-Shan Lin, Pinpin |
author_sort | Tung, Chun-Wei |
collection | PubMed |
description | The assessment of bioactivity and toxicity for mixtures remains a challenging work. Although several computational models have been developed to accelerate the evaluation of chemical-chemical interaction, a specific biological endpoint should be defined before applying the models that usually relies on clinical and experimental data. The development of computational methods is desirable for identifying potential biological endpoints of mixture interactions. To facilitate the identification of potential effects of mixture interactions, a novel online system named ChemDIS-Mixture is proposed to analyze the shared target proteins, and common enriched functions, pathways, and diseases affected by multiple chemicals. Venn diagram tools have been implemented for easy analysis and visualization of interaction targets and effects. Case studies have been provided to demonstrate the capability of ChemDIS-Mixture for identifying potential effects of mixture interactions in clinical studies. ChemDIS-Mixture provides useful functions for the identification of potential effects of coexposure to multiple chemicals. ChemDIS-Mixture is freely accessible at http://cwtung.kmu.edu.tw/chemdis/mixture. |
format | Online Article Text |
id | pubmed-6030136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60301362018-07-11 ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures Tung, Chun-Wei Wang, Chia-Chi Wang, Shan-Shan Lin, Pinpin Sci Rep Article The assessment of bioactivity and toxicity for mixtures remains a challenging work. Although several computational models have been developed to accelerate the evaluation of chemical-chemical interaction, a specific biological endpoint should be defined before applying the models that usually relies on clinical and experimental data. The development of computational methods is desirable for identifying potential biological endpoints of mixture interactions. To facilitate the identification of potential effects of mixture interactions, a novel online system named ChemDIS-Mixture is proposed to analyze the shared target proteins, and common enriched functions, pathways, and diseases affected by multiple chemicals. Venn diagram tools have been implemented for easy analysis and visualization of interaction targets and effects. Case studies have been provided to demonstrate the capability of ChemDIS-Mixture for identifying potential effects of mixture interactions in clinical studies. ChemDIS-Mixture provides useful functions for the identification of potential effects of coexposure to multiple chemicals. ChemDIS-Mixture is freely accessible at http://cwtung.kmu.edu.tw/chemdis/mixture. Nature Publishing Group UK 2018-07-03 /pmc/articles/PMC6030136/ /pubmed/29968796 http://dx.doi.org/10.1038/s41598-018-28361-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tung, Chun-Wei Wang, Chia-Chi Wang, Shan-Shan Lin, Pinpin ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures |
title | ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures |
title_full | ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures |
title_fullStr | ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures |
title_full_unstemmed | ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures |
title_short | ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures |
title_sort | chemdis-mixture: an online tool for analyzing potential interaction effects of chemical mixtures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030136/ https://www.ncbi.nlm.nih.gov/pubmed/29968796 http://dx.doi.org/10.1038/s41598-018-28361-6 |
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