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Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin
Besides its anti-inflammatory, analgesic and anti-pyretic properties, aspirin is used for the prevention of cardiovascular disease and various types of cancer. The multiple activities of aspirin likely involve several molecular targets and pathways rather than a single target. Therefore, systematic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793309/ https://www.ncbi.nlm.nih.gov/pubmed/26989626 http://dx.doi.org/10.7717/peerj.1791 |
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author | Dai, Shao-Xing Li, Wen-Xing Li, Gong-Hua Huang, Jing-Fei |
author_facet | Dai, Shao-Xing Li, Wen-Xing Li, Gong-Hua Huang, Jing-Fei |
author_sort | Dai, Shao-Xing |
collection | PubMed |
description | Besides its anti-inflammatory, analgesic and anti-pyretic properties, aspirin is used for the prevention of cardiovascular disease and various types of cancer. The multiple activities of aspirin likely involve several molecular targets and pathways rather than a single target. Therefore, systematic identification of these targets of aspirin can help us understand the underlying mechanisms of the activities. In this study, we identified 23 putative targets of aspirin in the human proteome by using binding pocket similarity detecting tool combination with molecular docking, free energy calculation and pathway analysis. These targets have diverse folds and are derived from different protein family. However, they have similar aspirin-binding pockets. The binding free energy with aspirin for newly identified targets is comparable to that for the primary targets. Pathway analysis revealed that the targets were enriched in several pathways such as vascular endothelial growth factor (VEGF) signaling, Fc epsilon RI signaling and arachidonic acid metabolism, which are strongly involved in inflammation, cardiovascular disease and cancer. Therefore, the predicted target profile of aspirin suggests a new explanation for the disease prevention ability of aspirin. Our findings provide a new insight of aspirin and its efficacy of disease prevention in a systematic and global view. |
format | Online Article Text |
id | pubmed-4793309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47933092016-03-17 Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin Dai, Shao-Xing Li, Wen-Xing Li, Gong-Hua Huang, Jing-Fei PeerJ Bioinformatics Besides its anti-inflammatory, analgesic and anti-pyretic properties, aspirin is used for the prevention of cardiovascular disease and various types of cancer. The multiple activities of aspirin likely involve several molecular targets and pathways rather than a single target. Therefore, systematic identification of these targets of aspirin can help us understand the underlying mechanisms of the activities. In this study, we identified 23 putative targets of aspirin in the human proteome by using binding pocket similarity detecting tool combination with molecular docking, free energy calculation and pathway analysis. These targets have diverse folds and are derived from different protein family. However, they have similar aspirin-binding pockets. The binding free energy with aspirin for newly identified targets is comparable to that for the primary targets. Pathway analysis revealed that the targets were enriched in several pathways such as vascular endothelial growth factor (VEGF) signaling, Fc epsilon RI signaling and arachidonic acid metabolism, which are strongly involved in inflammation, cardiovascular disease and cancer. Therefore, the predicted target profile of aspirin suggests a new explanation for the disease prevention ability of aspirin. Our findings provide a new insight of aspirin and its efficacy of disease prevention in a systematic and global view. PeerJ Inc. 2016-03-10 /pmc/articles/PMC4793309/ /pubmed/26989626 http://dx.doi.org/10.7717/peerj.1791 Text en ©2016 Dai et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Dai, Shao-Xing Li, Wen-Xing Li, Gong-Hua Huang, Jing-Fei Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin |
title | Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin |
title_full | Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin |
title_fullStr | Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin |
title_full_unstemmed | Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin |
title_short | Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin |
title_sort | proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793309/ https://www.ncbi.nlm.nih.gov/pubmed/26989626 http://dx.doi.org/10.7717/peerj.1791 |
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