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Yang2008_AAnetwork_PMN


ABSTRACT: This is the arachidonic acid metabolic network model for human polymorphonuclear leukocyte (PMN) described in the article: Finding multiple target optimal intervention in disease-related molecular network. Yang K, Bai H, Ouyang Q, Lai L, Tang C. Mol Syst Biol. 2008;4:228. Epub 2008 Nov 4.; PMID: 18985027 ,doi: 10.1038/msb.2008.60 Abstract: Drugs against multiple targets may overcome the many limitations of single targets and achieve a more effective and safer control of the disease. Numerous high-throughput experiments have been performed in this emerging field. However, systematic identification of multiple drug targets and their best intervention requires knowledge of the underlying disease network and calls for innovative computational methods that exploit the network structure and dynamics. Here, we develop a robust computational algorithm for finding multiple target optimal intervention (MTOI) solutions in a disease network. MTOI identifies potential drug targets and suggests optimal combinations of the target intervention that best restore the network to a normal state, which can be customer designed. We applied MTOI to an inflammation-related network. The well-known side effects of the traditional non-steriodal anti-inflammatory drugs and the recently recalled Vioxx were correctly accounted for in our network model. A number of promising MTOI solutions were found to be both effective and safer. In this version of the model the parameter names have been slightly changed from the ones in the supplementary material of the article ( Supplementary Information 1 ). Originally created by libAntimony v1.3 (using libSBML 4.1.0-b1) This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Lukas Endler  

PROVIDER: MODEL8236441887 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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Finding multiple target optimal intervention in disease-related molecular network.

Yang Kun K   Bai Hongjun H   Ouyang Qi Q   Lai Luhua L   Tang Chao C  

Molecular systems biology 20081104


Drugs against multiple targets may overcome the many limitations of single targets and achieve a more effective and safer control of the disease. Numerous high-throughput experiments have been performed in this emerging field. However, systematic identification of multiple drug targets and their best intervention requires knowledge of the underlying disease network and calls for innovative computational methods that exploit the network structure and dynamics. Here, we develop a robust computatio  ...[more]

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