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Unveiling new biological relationships using shared hits of chemical screening assay pairs

Motivation: Although the integration and analysis of the activity of small molecules across multiple chemical screens is a common approach to determine the specificity and toxicity of hits, the suitability of these approaches to reveal novel biological information is less explored. Here, we test the...

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Detalles Bibliográficos
Autores principales: Liu, Xueping, Campillos, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147921/
https://www.ncbi.nlm.nih.gov/pubmed/25161250
http://dx.doi.org/10.1093/bioinformatics/btu468
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author Liu, Xueping
Campillos, Monica
author_facet Liu, Xueping
Campillos, Monica
author_sort Liu, Xueping
collection PubMed
description Motivation: Although the integration and analysis of the activity of small molecules across multiple chemical screens is a common approach to determine the specificity and toxicity of hits, the suitability of these approaches to reveal novel biological information is less explored. Here, we test the hypothesis that assays sharing selective hits are biologically related. Results: We annotated the biological activities (i.e. biological processes or molecular activities) measured in assays and constructed chemical hit profiles with sets of compounds differing on their selectivity level for 1640 assays of ChemBank repository. We compared the similarity of chemical hit profiles of pairs of assays with their biological relationships and observed that assay pairs sharing non-promiscuous chemical hits tend to be biologically related. A detailed analysis of a network containing assay pairs with the highest hit similarity confirmed biological meaningful relationships. Furthermore, the biological roles of predicted molecular targets of the shared hits reinforced the biological associations between assay pairs. Contact: monica.campillos@helmholtz-muenchen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-41479212014-09-02 Unveiling new biological relationships using shared hits of chemical screening assay pairs Liu, Xueping Campillos, Monica Bioinformatics Eccb 2014 Proceedings Papers Committee Motivation: Although the integration and analysis of the activity of small molecules across multiple chemical screens is a common approach to determine the specificity and toxicity of hits, the suitability of these approaches to reveal novel biological information is less explored. Here, we test the hypothesis that assays sharing selective hits are biologically related. Results: We annotated the biological activities (i.e. biological processes or molecular activities) measured in assays and constructed chemical hit profiles with sets of compounds differing on their selectivity level for 1640 assays of ChemBank repository. We compared the similarity of chemical hit profiles of pairs of assays with their biological relationships and observed that assay pairs sharing non-promiscuous chemical hits tend to be biologically related. A detailed analysis of a network containing assay pairs with the highest hit similarity confirmed biological meaningful relationships. Furthermore, the biological roles of predicted molecular targets of the shared hits reinforced the biological associations between assay pairs. Contact: monica.campillos@helmholtz-muenchen.de Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-09-01 2014-08-22 /pmc/articles/PMC4147921/ /pubmed/25161250 http://dx.doi.org/10.1093/bioinformatics/btu468 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), 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 Eccb 2014 Proceedings Papers Committee
Liu, Xueping
Campillos, Monica
Unveiling new biological relationships using shared hits of chemical screening assay pairs
title Unveiling new biological relationships using shared hits of chemical screening assay pairs
title_full Unveiling new biological relationships using shared hits of chemical screening assay pairs
title_fullStr Unveiling new biological relationships using shared hits of chemical screening assay pairs
title_full_unstemmed Unveiling new biological relationships using shared hits of chemical screening assay pairs
title_short Unveiling new biological relationships using shared hits of chemical screening assay pairs
title_sort unveiling new biological relationships using shared hits of chemical screening assay pairs
topic Eccb 2014 Proceedings Papers Committee
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147921/
https://www.ncbi.nlm.nih.gov/pubmed/25161250
http://dx.doi.org/10.1093/bioinformatics/btu468
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