Literature DB >> 14594721

MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis.

Dong-Yup Lee1, Hongsoek Yun, Sunwon Park, Sang Yup Lee.   

Abstract

SUMMARY: MetaFluxNet is a program package for managing information on the metabolic reaction network and for quantitatively analyzing metabolic fluxes in an interactive and customized way. It allows users to interpret and examine metabolic behavior in response to genetic and/or environmental modifications. As a result, quantitative in silico simulations of metabolic pathways can be carried out to understand the metabolic status and to design the metabolic engineering strategies. The main features of the program include a well-developed model construction environment, user-friendly interface for metabolic flux analysis (MFA), comparative MFA of strains having different genotypes under various environmental conditions, and automated pathway layout creation. AVAILABILITY: http://mbel.kaist.ac.kr/ SUPPLEMENTARY INFORMATION: A manual for MetaFluxNet is available as PDF file.

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Year:  2003        PMID： 14594721     DOI： 10.1093/bioinformatics/btg271

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  12 in total

1.  In silico identification of gene amplification targets for improvement of lycopene production.

Authors:  Hyung Seok Choi; Sang Yup Lee; Tae Yong Kim; Han Min Woo
Journal:  Appl Environ Microbiol       Date:  2010-03-26       Impact factor: 4.792

2.  Web-based applications for building, managing and analysing kinetic models of biological systems.

Authors:  Dong-Yup Lee; Rajib Saha; Faraaz Noor Khan Yusufi; Wonjun Park; Iftekhar A Karimi
Journal:  Brief Bioinform       Date:  2008-09-19       Impact factor: 11.622

3.  What is flux balance analysis?

Authors:  Jeffrey D Orth; Ines Thiele; Bernhard Ø Palsson
Journal:  Nat Biotechnol       Date:  2010-03       Impact factor: 54.908

4.  Metabolic engineering of Escherichia coli for enhanced production of succinic acid, based on genome comparison and in silico gene knockout simulation.

Authors:  Sang Jun Lee; Dong-Yup Lee; Tae Yong Kim; Byung Hun Kim; Jinwon Lee; Sang Yup Lee
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

5.  A protocol for generating a high-quality genome-scale metabolic reconstruction.

Authors:  Ines Thiele; Bernhard Ø Palsson
Journal:  Nat Protoc       Date:  2010-01-07       Impact factor: 13.491

6.  OptFlux: an open-source software platform for in silico metabolic engineering.

Authors:  Isabel Rocha; Paulo Maia; Pedro Evangelista; Paulo Vilaça; Simão Soares; José P Pinto; Jens Nielsen; Kiran R Patil; Eugénio C Ferreira; Miguel Rocha
Journal:  BMC Syst Biol       Date:  2010-04-19

7.  Assessment of metabolic phenotypes in patients with non-ischemic dilated cardiomyopathy undergoing cardiac resynchronization therapy.

Authors:  Sebastian Obrzut; Jay Tiongson; Neema Jamshidi; Huy Minh Phan; Carl Hoh; Ulrika Birgersdotter-Green
Journal:  J Cardiovasc Transl Res       Date:  2010-09-15       Impact factor: 4.132

8.  Integrative genome-scale metabolic analysis of Vibrio vulnificus for drug targeting and discovery.

Authors:  Hyun Uk Kim; Soo Young Kim; Haeyoung Jeong; Tae Yong Kim; Jae Jong Kim; Hyon E Choy; Kyu Yang Yi; Joon Haeng Rhee; Sang Yup Lee
Journal:  Mol Syst Biol       Date:  2011-01-18       Impact factor: 11.429

9.  Framework for network modularization and Bayesian network analysis to investigate the perturbed metabolic network.

Authors:  Hyun Uk Kim; Tae Yong Kim; Sang Yup Lee
Journal:  BMC Syst Biol       Date:  2011-12-14

10.  Human metabolic network: reconstruction, simulation, and applications in systems biology.

Authors:  Ming Wu; Christina Chan
Journal:  Metabolites       Date:  2012-03-02
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