The Advantages of Connectivity Map Applied in Traditional Chinese Medicine

Amid the establishment and optimization of Connectivity Map (CMAP), the functional relationships among drugs, genes, and diseases are further explored. This biological database has been widely used to identify drugs with common mechanisms, repurpose existing drugs, discover the molecular mechanisms...

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Detalles Bibliográficos
Autores principales: Jiang, Huimin, Hu, Cheng, Chen, Meijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991830/
https://www.ncbi.nlm.nih.gov/pubmed/33776757
http://dx.doi.org/10.3389/fphar.2021.474267
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author Jiang, Huimin
Hu, Cheng
Chen, Meijuan
author_facet Jiang, Huimin
Hu, Cheng
Chen, Meijuan
author_sort Jiang, Huimin
collection PubMed
description Amid the establishment and optimization of Connectivity Map (CMAP), the functional relationships among drugs, genes, and diseases are further explored. This biological database has been widely used to identify drugs with common mechanisms, repurpose existing drugs, discover the molecular mechanisms of unknown drugs, and find potential drugs for some diseases. Research on traditional Chinese medicine (TCM) has entered a new era in the wake of the development of bioinformatics and other subjects including network pharmacology, proteomics, metabolomics, herbgenomics, and so on. TCM gradually conforms to modern science, but there is still a torrent of limitations. In recent years, CMAP has shown its distinct advantages in the study of the components of TCM and the synergetic mechanism of TCM formulas; hence, the combination of them is inevitable.
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spelling pubmed-79918302021-03-26 The Advantages of Connectivity Map Applied in Traditional Chinese Medicine Jiang, Huimin Hu, Cheng Chen, Meijuan Front Pharmacol Pharmacology Amid the establishment and optimization of Connectivity Map (CMAP), the functional relationships among drugs, genes, and diseases are further explored. This biological database has been widely used to identify drugs with common mechanisms, repurpose existing drugs, discover the molecular mechanisms of unknown drugs, and find potential drugs for some diseases. Research on traditional Chinese medicine (TCM) has entered a new era in the wake of the development of bioinformatics and other subjects including network pharmacology, proteomics, metabolomics, herbgenomics, and so on. TCM gradually conforms to modern science, but there is still a torrent of limitations. In recent years, CMAP has shown its distinct advantages in the study of the components of TCM and the synergetic mechanism of TCM formulas; hence, the combination of them is inevitable. Frontiers Media S.A. 2021-03-11 /pmc/articles/PMC7991830/ /pubmed/33776757 http://dx.doi.org/10.3389/fphar.2021.474267 Text en Copyright © 2021 Jiang, Hu and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Jiang, Huimin
Hu, Cheng
Chen, Meijuan
The Advantages of Connectivity Map Applied in Traditional Chinese Medicine
title The Advantages of Connectivity Map Applied in Traditional Chinese Medicine
title_full The Advantages of Connectivity Map Applied in Traditional Chinese Medicine
title_fullStr The Advantages of Connectivity Map Applied in Traditional Chinese Medicine
title_full_unstemmed The Advantages of Connectivity Map Applied in Traditional Chinese Medicine
title_short The Advantages of Connectivity Map Applied in Traditional Chinese Medicine
title_sort advantages of connectivity map applied in traditional chinese medicine
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991830/
https://www.ncbi.nlm.nih.gov/pubmed/33776757
http://dx.doi.org/10.3389/fphar.2021.474267
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