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Drug Target Prediction Based on the Herbs Components: The Study on the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease
In this paper, we present a case study of Qishenkeli (QSKL) to research TCM's underlying molecular mechanism, based on drug target prediction and analyses of TCM chemical components and following experimental validation. First, after determining the compositive compounds of QSKL, we use drugCIP...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3310183/ https://www.ncbi.nlm.nih.gov/pubmed/22474514 http://dx.doi.org/10.1155/2012/698531 |
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author | Wang, Yong Liu, Zhongyang Li, Chun Li, Dong Ouyang, Yulin Yu, Junda Guo, Shuzhen He, Fuchu Wang, Wei |
author_facet | Wang, Yong Liu, Zhongyang Li, Chun Li, Dong Ouyang, Yulin Yu, Junda Guo, Shuzhen He, Fuchu Wang, Wei |
author_sort | Wang, Yong |
collection | PubMed |
description | In this paper, we present a case study of Qishenkeli (QSKL) to research TCM's underlying molecular mechanism, based on drug target prediction and analyses of TCM chemical components and following experimental validation. First, after determining the compositive compounds of QSKL, we use drugCIPHER-CS to predict their potential drug targets. These potential targets are significantly enriched with known cardiovascular disease-related drug targets. Then we find these potential drug targets are significantly enriched in the biological processes of neuroactive ligand-receptor interaction, aminoacyl-tRNA biosynthesis, calcium signaling pathway, glycine, serine and threonine metabolism, and renin-angiotensin system (RAAS), and so on. Then, animal model of coronary heart disease (CHD) induced by left anterior descending coronary artery ligation is applied to validate predicted pathway. RAAS pathway is selected as an example, and the results show that QSKL has effect on both rennin and angiotensin II receptor (AT1R), which eventually down regulates the angiotensin II (AngII). Bioinformatics combing with experiment verification can provide a credible and objective method to understand the complicated multitargets mechanism for Chinese herbal formula. |
format | Online Article Text |
id | pubmed-3310183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-33101832012-04-03 Drug Target Prediction Based on the Herbs Components: The Study on the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease Wang, Yong Liu, Zhongyang Li, Chun Li, Dong Ouyang, Yulin Yu, Junda Guo, Shuzhen He, Fuchu Wang, Wei Evid Based Complement Alternat Med Research Article In this paper, we present a case study of Qishenkeli (QSKL) to research TCM's underlying molecular mechanism, based on drug target prediction and analyses of TCM chemical components and following experimental validation. First, after determining the compositive compounds of QSKL, we use drugCIPHER-CS to predict their potential drug targets. These potential targets are significantly enriched with known cardiovascular disease-related drug targets. Then we find these potential drug targets are significantly enriched in the biological processes of neuroactive ligand-receptor interaction, aminoacyl-tRNA biosynthesis, calcium signaling pathway, glycine, serine and threonine metabolism, and renin-angiotensin system (RAAS), and so on. Then, animal model of coronary heart disease (CHD) induced by left anterior descending coronary artery ligation is applied to validate predicted pathway. RAAS pathway is selected as an example, and the results show that QSKL has effect on both rennin and angiotensin II receptor (AT1R), which eventually down regulates the angiotensin II (AngII). Bioinformatics combing with experiment verification can provide a credible and objective method to understand the complicated multitargets mechanism for Chinese herbal formula. Hindawi Publishing Corporation 2012 2012-03-08 /pmc/articles/PMC3310183/ /pubmed/22474514 http://dx.doi.org/10.1155/2012/698531 Text en Copyright © 2012 Yong Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Yong Liu, Zhongyang Li, Chun Li, Dong Ouyang, Yulin Yu, Junda Guo, Shuzhen He, Fuchu Wang, Wei Drug Target Prediction Based on the Herbs Components: The Study on the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease |
title | Drug Target Prediction Based on the Herbs Components: The Study on
the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease |
title_full | Drug Target Prediction Based on the Herbs Components: The Study on
the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease |
title_fullStr | Drug Target Prediction Based on the Herbs Components: The Study on
the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease |
title_full_unstemmed | Drug Target Prediction Based on the Herbs Components: The Study on
the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease |
title_short | Drug Target Prediction Based on the Herbs Components: The Study on
the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease |
title_sort | drug target prediction based on the herbs components: the study on
the multitargets pharmacological mechanism of qishenkeli acting on the coronary heart disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3310183/ https://www.ncbi.nlm.nih.gov/pubmed/22474514 http://dx.doi.org/10.1155/2012/698531 |
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