VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs

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...

Full description

Bibliographic Details
Main Authors: Hu, Q-N, Deng, Z, Tu, W, Yang, X, Meng, Z-B, Deng, Z-X, Liu, J
Format: Online
Language:English
Published: Nature Publishing Group 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039393/
id pubmed-4039393
recordtype oai_dc
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 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/
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Hu, Q-N
Deng, Z
Tu, W
Yang, X
Meng, Z-B
Deng, Z-X
Liu, J
spellingShingle 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
author_facet Hu, Q-N
Deng, Z
Tu, W
Yang, X
Meng, Z-B
Deng, Z-X
Liu, J
author_sort Hu, Q-N
title VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs
title_short 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_sort vnp: interactive visual network pharmacology of diseases, targets, and drugs
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.
publisher Nature Publishing Group
publishDate 2014
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039393/
_version_ 1612094851511222272

Similar Items