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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...

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Autores principales: Dai, Shao-Xing, Li, Wen-Xing, Li, Gong-Hua, Huang, Jing-Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
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.
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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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