Literature DB >> 28088694

Metabolic network modeling with model organisms.

L Safak Yilmaz1, Albertha Jm Walhout2.   

Abstract

Flux balance analysis (FBA) with genome-scale metabolic network models (GSMNM) allows systems level predictions of metabolism in a variety of organisms. Different types of predictions with different accuracy levels can be made depending on the applied experimental constraints ranging from measurement of exchange fluxes to the integration of gene expression data. Metabolic network modeling with model organisms has pioneered method development in this field. In addition, model organism GSMNMs are useful for basic understanding of metabolism, and in the case of animal models, for the study of metabolic human diseases. Here, we discuss GSMNMs of most highly used model organisms with the emphasis on recent reconstructions. Published by Elsevier Ltd.

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Mesh:

Year:  2017        PMID: 28088694      PMCID: PMC5458607          DOI: 10.1016/j.cbpa.2016.12.025

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  59 in total

1.  Integrating high-throughput and computational data elucidates bacterial networks.

Authors:  Markus W Covert; Eric M Knight; Jennifer L Reed; Markus J Herrgard; Bernhard O Palsson
Journal:  Nature       Date:  2004-05-06       Impact factor: 49.962

Review 2.  Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Authors:  Kambiz Baghalian; Mohammad-Reza Hajirezaei; Falk Schreiber
Journal:  Plant Cell       Date:  2014-10-24       Impact factor: 11.277

Review 3.  Fluxes through plant metabolic networks: measurements, predictions, insights and challenges.

Authors:  Nicholas J Kruger; R George Ratcliffe
Journal:  Biochem J       Date:  2015-01-01       Impact factor: 3.857

4.  Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.

Authors:  Nathan E Lewis; Kim K Hixson; Tom M Conrad; Joshua A Lerman; Pep Charusanti; Ashoka D Polpitiya; Joshua N Adkins; Gunnar Schramm; Samuel O Purvine; Daniel Lopez-Ferrer; Karl K Weitz; Roland Eils; Rainer König; Richard D Smith; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2010-07       Impact factor: 11.429

5.  A genome-scale metabolic model of Arabidopsis and some of its properties.

Authors:  Mark G Poolman; Laurent Miguet; Lee J Sweetlove; David A Fell
Journal:  Plant Physiol       Date:  2009-09-15       Impact factor: 8.340

6.  Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110.

Authors:  A Varma; B O Palsson
Journal:  Appl Environ Microbiol       Date:  1994-10       Impact factor: 4.792

7.  A comprehensive genome-scale reconstruction of Escherichia coli metabolism--2011.

Authors:  Jeffrey D Orth; Tom M Conrad; Jessica Na; Joshua A Lerman; Hojung Nam; Adam M Feist; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2011-10-11       Impact factor: 11.429

8.  Multi-tissue computational modeling analyzes pathophysiology of type 2 diabetes in MKR mice.

Authors:  Amit Kumar; Thomas Harrelson; Nathan E Lewis; Emily J Gallagher; Derek LeRoith; Joseph Shiloach; Michael J Betenbaugh
Journal:  PLoS One       Date:  2014-07-16       Impact factor: 3.240

9.  Recon 2.2: from reconstruction to model of human metabolism.

Authors:  Neil Swainston; Kieran Smallbone; Hooman Hefzi; Paul D Dobson; Judy Brewer; Michael Hanscho; Daniel C Zielinski; Kok Siong Ang; Natalie J Gardiner; Jahir M Gutierrez; Sarantos Kyriakopoulos; Meiyappan Lakshmanan; Shangzhong Li; Joanne K Liu; Veronica S Martínez; Camila A Orellana; Lake-Ee Quek; Alex Thomas; Juergen Zanghellini; Nicole Borth; Dong-Yup Lee; Lars K Nielsen; Douglas B Kell; Nathan E Lewis; Pedro Mendes
Journal:  Metabolomics       Date:  2016-06-07       Impact factor: 4.290

10.  Mapping condition-dependent regulation of metabolism in yeast through genome-scale modeling.

Authors:  Tobias Österlund; Intawat Nookaew; Sergio Bordel; Jens Nielsen
Journal:  BMC Syst Biol       Date:  2013-04-30
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  18 in total

Review 1.  Computational systems biology of cellular processes in Arabidopsis thaliana: an overview.

Authors:  Pascal Holzheu; Ursula Kummer
Journal:  Cell Mol Life Sci       Date:  2019-11-25       Impact factor: 9.261

Review 2.  Systems Biology Approaches to Redox Metabolism in Stress and Disease States.

Authors:  Rui-Sheng Wang; William M Oldham; Bradley A Maron; Joseph Loscalzo
Journal:  Antioxid Redox Signal       Date:  2017-12-20       Impact factor: 8.401

3.  Compartmentalization of metabolism between cell types in multicellular organisms: a computational perspective.

Authors:  Xuhang Li; L Safak Yilmaz; Albertha J M Walhout
Journal:  Curr Opin Syst Biol       Date:  2021-11-14

4.  A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling.

Authors:  Supreeta Vijayakumar; Giuseppe Magazzù; Pradip Moon; Annalisa Occhipinti; Claudio Angione
Journal:  Methods Mol Biol       Date:  2022

5.  OsRLCK160 contributes to flavonoid accumulation and UV-B tolerance by regulating OsbZIP48 in rice.

Authors:  Feng Zhang; Jiacheng Huang; Hao Guo; Chenkun Yang; Yufei Li; Shuangqian Shen; Chuansong Zhan; Lianghuan Qu; Xianqing Liu; Shouchuang Wang; Wei Chen; Jie Luo
Journal:  Sci China Life Sci       Date:  2022-01-18       Impact factor: 10.372

6.  Saccharomyces genome database informs human biology.

Authors:  Marek S Skrzypek; Robert S Nash; Edith D Wong; Kevin A MacPherson; Sage T Hellerstedt; Stacia R Engel; Kalpana Karra; Shuai Weng; Travis K Sheppard; Gail Binkley; Matt Simison; Stuart R Miyasato; J Michael Cherry
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

Review 7.  The Genome-Scale Integrated Networks in Microorganisms.

Authors:  Tong Hao; Dan Wu; Lingxuan Zhao; Qian Wang; Edwin Wang; Jinsheng Sun
Journal:  Front Microbiol       Date:  2018-02-23       Impact factor: 5.640

Review 8.  Metabolic Alterations in Cardiopulmonary Vascular Dysfunction.

Authors:  Valérie Françoise Smolders; Erika Zodda; Paul H A Quax; Marina Carini; Joan Albert Barberà; Timothy M Thomson; Olga Tura-Ceide; Marta Cascante
Journal:  Front Mol Biosci       Date:  2019-01-22

9.  Computer-Aided Whole-Cell Design: Taking a Holistic Approach by Integrating Synthetic With Systems Biology.

Authors:  Lucia Marucci; Matteo Barberis; Jonathan Karr; Oliver Ray; Paul R Race; Miguel de Souza Andrade; Claire Grierson; Stefan Andreas Hoffmann; Sophie Landon; Elibio Rech; Joshua Rees-Garbutt; Richard Seabrook; William Shaw; Christopher Woods
Journal:  Front Bioeng Biotechnol       Date:  2020-08-07

10.  Effects of MCHM on yeast metabolism.

Authors:  Amaury Pupo; Kang Mo Ku; Jennifer E G Gallagher
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

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