Dynamic simulations on the arachidonic acid metabolic network.

Drug molecules not only interact with specific targets, but also alter the state and function of the associated biological network. How to design drugs and evaluate their functions at the systems level becomes a key issue in highly efficient and low-side-effect drug design. The arachidonic acid meta...

Full description

Bibliographic Details
Main Authors: Kun Yang, Wenzhe Ma, Huanhuan Liang, Qi Ouyang, Chao Tang, Luhua Lai
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2007-03-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC1829479?pdf=render
_version_ 1828261728124665856
author Kun Yang
Wenzhe Ma
Huanhuan Liang
Qi Ouyang
Chao Tang
Luhua Lai
author_facet Kun Yang
Wenzhe Ma
Huanhuan Liang
Qi Ouyang
Chao Tang
Luhua Lai
author_sort Kun Yang
collection DOAJ
description Drug molecules not only interact with specific targets, but also alter the state and function of the associated biological network. How to design drugs and evaluate their functions at the systems level becomes a key issue in highly efficient and low-side-effect drug design. The arachidonic acid metabolic network is the network that produces inflammatory mediators, in which several enzymes, including cyclooxygenase-2 (COX-2), have been used as targets for anti-inflammatory drugs. However, neither the century-old nonsteriodal anti-inflammatory drugs nor the recently revocatory Vioxx have provided completely successful anti-inflammatory treatment. To gain more insights into the anti-inflammatory drug design, the authors have studied the dynamic properties of arachidonic acid (AA) metabolic network in human polymorphous leukocytes. Metabolic flux, exogenous AA effects, and drug efficacy have been analyzed using ordinary differential equations. The flux balance in the AA network was found to be important for efficient and safe drug design. When only the 5-lipoxygenase (5-LOX) inhibitor was used, the flux of the COX-2 pathway was increased significantly, showing that a single functional inhibitor cannot effectively control the production of inflammatory mediators. When both COX-2 and 5-LOX were blocked, the production of inflammatory mediators could be completely shut off. The authors have also investigated the differences between a dual-functional COX-2 and 5-LOX inhibitor and a mixture of these two types of inhibitors. Their work provides an example for the integration of systems biology and drug discovery.
first_indexed 2024-04-13T03:44:10Z
format Article
id doaj.art-f65abc2abf2547339671cad339fab5a3
institution Directory Open Access Journal
issn 1553-734X
1553-7358
language English
last_indexed 2024-04-13T03:44:10Z
publishDate 2007-03-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS Computational Biology
spelling doaj.art-f65abc2abf2547339671cad339fab5a32022-12-22T03:04:04ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582007-03-0133e5510.1371/journal.pcbi.0030055Dynamic simulations on the arachidonic acid metabolic network.Kun YangWenzhe MaHuanhuan LiangQi OuyangChao TangLuhua LaiDrug molecules not only interact with specific targets, but also alter the state and function of the associated biological network. How to design drugs and evaluate their functions at the systems level becomes a key issue in highly efficient and low-side-effect drug design. The arachidonic acid metabolic network is the network that produces inflammatory mediators, in which several enzymes, including cyclooxygenase-2 (COX-2), have been used as targets for anti-inflammatory drugs. However, neither the century-old nonsteriodal anti-inflammatory drugs nor the recently revocatory Vioxx have provided completely successful anti-inflammatory treatment. To gain more insights into the anti-inflammatory drug design, the authors have studied the dynamic properties of arachidonic acid (AA) metabolic network in human polymorphous leukocytes. Metabolic flux, exogenous AA effects, and drug efficacy have been analyzed using ordinary differential equations. The flux balance in the AA network was found to be important for efficient and safe drug design. When only the 5-lipoxygenase (5-LOX) inhibitor was used, the flux of the COX-2 pathway was increased significantly, showing that a single functional inhibitor cannot effectively control the production of inflammatory mediators. When both COX-2 and 5-LOX were blocked, the production of inflammatory mediators could be completely shut off. The authors have also investigated the differences between a dual-functional COX-2 and 5-LOX inhibitor and a mixture of these two types of inhibitors. Their work provides an example for the integration of systems biology and drug discovery.http://europepmc.org/articles/PMC1829479?pdf=render
spellingShingle Kun Yang
Wenzhe Ma
Huanhuan Liang
Qi Ouyang
Chao Tang
Luhua Lai
Dynamic simulations on the arachidonic acid metabolic network.
PLoS Computational Biology
title Dynamic simulations on the arachidonic acid metabolic network.
title_full Dynamic simulations on the arachidonic acid metabolic network.
title_fullStr Dynamic simulations on the arachidonic acid metabolic network.
title_full_unstemmed Dynamic simulations on the arachidonic acid metabolic network.
title_short Dynamic simulations on the arachidonic acid metabolic network.
title_sort dynamic simulations on the arachidonic acid metabolic network
url http://europepmc.org/articles/PMC1829479?pdf=render
work_keys_str_mv AT kunyang dynamicsimulationsonthearachidonicacidmetabolicnetwork
AT wenzhema dynamicsimulationsonthearachidonicacidmetabolicnetwork
AT huanhuanliang dynamicsimulationsonthearachidonicacidmetabolicnetwork
AT qiouyang dynamicsimulationsonthearachidonicacidmetabolicnetwork
AT chaotang dynamicsimulationsonthearachidonicacidmetabolicnetwork
AT luhualai dynamicsimulationsonthearachidonicacidmetabolicnetwork