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VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs
In drug discovery, promiscuous targets, multifactorial diseases, and “dirty” drugs construct complex network relationships. Network pharmacology description and analysis not only give a systems-level understanding of drug action and disease complexity but can also help to improve the efficiency of t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039393/ https://www.ncbi.nlm.nih.gov/pubmed/24622768 http://dx.doi.org/10.1038/psp.2014.1 |
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author | Hu, Q-N Deng, Z Tu, W Yang, X Meng, Z-B Deng, Z-X Liu, J |
author_facet | Hu, Q-N Deng, Z Tu, W Yang, X Meng, Z-B Deng, Z-X Liu, J |
author_sort | Hu, Q-N |
collection | PubMed |
description | In drug discovery, promiscuous targets, multifactorial diseases, and “dirty” drugs construct complex network relationships. Network pharmacology description and analysis not only give a systems-level understanding of drug action and disease complexity but can also help to improve the efficiency of target selection and drug design. Visual network pharmacology (VNP) is developed to visualize network pharmacology of targets, diseases, and drugs with a graph network by using disease, target or drug names, chemical structures, or protein sequence. To our knowledge, VNP is the first free interactive VNP server that should be very helpful for systems pharmacology research. VNP is freely available at http://cadd.whu.edu.cn/ditad/vnpsearch. |
format | Online Article Text |
id | pubmed-4039393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-40393932014-06-02 VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs Hu, Q-N Deng, Z Tu, W Yang, X Meng, Z-B Deng, Z-X Liu, J CPT Pharmacometrics Syst Pharmacol Original Article In drug discovery, promiscuous targets, multifactorial diseases, and “dirty” drugs construct complex network relationships. Network pharmacology description and analysis not only give a systems-level understanding of drug action and disease complexity but can also help to improve the efficiency of target selection and drug design. Visual network pharmacology (VNP) is developed to visualize network pharmacology of targets, diseases, and drugs with a graph network by using disease, target or drug names, chemical structures, or protein sequence. To our knowledge, VNP is the first free interactive VNP server that should be very helpful for systems pharmacology research. VNP is freely available at http://cadd.whu.edu.cn/ditad/vnpsearch. Nature Publishing Group 2014-03 2014-03-12 /pmc/articles/PMC4039393/ /pubmed/24622768 http://dx.doi.org/10.1038/psp.2014.1 Text en Copyright © 2014 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ CPT: Pharmacometrics and Systems Pharmacology is an open-access journal published by Nature Publishing Group. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Hu, Q-N Deng, Z Tu, W Yang, X Meng, Z-B Deng, Z-X Liu, J VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs |
title | VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs |
title_full | VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs |
title_fullStr | VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs |
title_full_unstemmed | VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs |
title_short | VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs |
title_sort | vnp: interactive visual network pharmacology of diseases, targets, and drugs |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039393/ https://www.ncbi.nlm.nih.gov/pubmed/24622768 http://dx.doi.org/10.1038/psp.2014.1 |
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