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Structural and Functional View of Polypharmacology
Protein domains mediate drug-protein interactions and this principle can guide the design of multi-target drugs i.e. polypharmacology. In this study, we associate multi-target drugs with CATH functional families through the overrepresentation of targets of those drugs in CATH functional families. Th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579063/ https://www.ncbi.nlm.nih.gov/pubmed/28860623 http://dx.doi.org/10.1038/s41598-017-10012-x |
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author | Moya-García, Aurelio Adeyelu, Tolulope Kruger, Felix A. Dawson, Natalie L. Lees, Jon G. Overington, John P. Orengo, Christine Ranea, Juan A. G. |
author_facet | Moya-García, Aurelio Adeyelu, Tolulope Kruger, Felix A. Dawson, Natalie L. Lees, Jon G. Overington, John P. Orengo, Christine Ranea, Juan A. G. |
author_sort | Moya-García, Aurelio |
collection | PubMed |
description | Protein domains mediate drug-protein interactions and this principle can guide the design of multi-target drugs i.e. polypharmacology. In this study, we associate multi-target drugs with CATH functional families through the overrepresentation of targets of those drugs in CATH functional families. Thus, we identify CATH functional families that are currently enriched in drugs (druggable CATH functional families) and we use the network properties of these druggable protein families to analyse their association with drug side effects. Analysis of selected druggable CATH functional families, enriched in drug targets, show that relatives exhibit highly conserved drug binding sites. Furthermore, relatives within druggable CATH functional families occupy central positions in a human protein functional network, cluster together forming network neighbourhoods and are less likely to be within proteins associated with drug side effects. Our results demonstrate that CATH functional families can be used to identify drug-target interactions, opening a new research direction in target identification. |
format | Online Article Text |
id | pubmed-5579063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55790632017-09-06 Structural and Functional View of Polypharmacology Moya-García, Aurelio Adeyelu, Tolulope Kruger, Felix A. Dawson, Natalie L. Lees, Jon G. Overington, John P. Orengo, Christine Ranea, Juan A. G. Sci Rep Article Protein domains mediate drug-protein interactions and this principle can guide the design of multi-target drugs i.e. polypharmacology. In this study, we associate multi-target drugs with CATH functional families through the overrepresentation of targets of those drugs in CATH functional families. Thus, we identify CATH functional families that are currently enriched in drugs (druggable CATH functional families) and we use the network properties of these druggable protein families to analyse their association with drug side effects. Analysis of selected druggable CATH functional families, enriched in drug targets, show that relatives exhibit highly conserved drug binding sites. Furthermore, relatives within druggable CATH functional families occupy central positions in a human protein functional network, cluster together forming network neighbourhoods and are less likely to be within proteins associated with drug side effects. Our results demonstrate that CATH functional families can be used to identify drug-target interactions, opening a new research direction in target identification. Nature Publishing Group UK 2017-08-31 /pmc/articles/PMC5579063/ /pubmed/28860623 http://dx.doi.org/10.1038/s41598-017-10012-x Text en © The Author(s) 2017 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 Moya-García, Aurelio Adeyelu, Tolulope Kruger, Felix A. Dawson, Natalie L. Lees, Jon G. Overington, John P. Orengo, Christine Ranea, Juan A. G. Structural and Functional View of Polypharmacology |
title | Structural and Functional View of Polypharmacology |
title_full | Structural and Functional View of Polypharmacology |
title_fullStr | Structural and Functional View of Polypharmacology |
title_full_unstemmed | Structural and Functional View of Polypharmacology |
title_short | Structural and Functional View of Polypharmacology |
title_sort | structural and functional view of polypharmacology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579063/ https://www.ncbi.nlm.nih.gov/pubmed/28860623 http://dx.doi.org/10.1038/s41598-017-10012-x |
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