Literature DB >> 22054827

Recent advances in reconstruction and applications of genome-scale metabolic models.

Tae Yong Kim1, Seung Bum Sohn, Yu Bin Kim, Won Jun Kim, Sang Yup Lee.   

Abstract

In the last decade, reconstruction and applications of genome-scale metabolic models have greatly influenced the field of systems biology by providing a platform on which high-throughput computational analysis of metabolic networks can be performed. The last two years have seen an increase in volume of more than 33% in the number of published genome-scale metabolic models, signifying a high demand for these metabolic models in studying specific organisms. The diversity in modeling different types of cells, from photosynthetic microorganisms to human cell types, also demonstrates their growing influence in biology. Here we review the recent advances and current state of genome-scale metabolic models, the methods employed towards ensuring high quality models, their biotechnological applications, and the progress towards the automated reconstruction of genome-scale metabolic models.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22054827     DOI: 10.1016/j.copbio.2011.10.007

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  62 in total

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5.  Unique attributes of cyanobacterial metabolism revealed by improved genome-scale metabolic modeling and essential gene analysis.

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Authors:  Salma Sohrabi-Jahromi; Sayed-Amir Marashi; Shiva Kalantari
Journal:  Mamm Genome       Date:  2016-02-29       Impact factor: 2.957

7.  Optimizing genome-scale network reconstructions.

Authors:  Jonathan Monk; Juan Nogales; Bernhard O Palsson
Journal:  Nat Biotechnol       Date:  2014-05       Impact factor: 54.908

8.  Functional metabolic map of Faecalibacterium prausnitzii, a beneficial human gut microbe.

Authors:  Almut Heinken; M Tanweer Khan; Giuseppe Paglia; Dmitry A Rodionov; Hermie J M Harmsen; Ines Thiele
Journal:  J Bacteriol       Date:  2014-07-07       Impact factor: 3.490

9.  Unraveling the Light-Specific Metabolic and Regulatory Signatures of Rice through Combined in Silico Modeling and Multiomics Analysis.

Authors:  Meiyappan Lakshmanan; Sun-Hyung Lim; Bijayalaxmi Mohanty; Jae Kwang Kim; Sun-Hwa Ha; Dong-Yup Lee
Journal:  Plant Physiol       Date:  2015-10-09       Impact factor: 8.340

10.  Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions.

Authors:  Cristal Zuñiga; Chien-Ting Li; Tyler Huelsman; Jennifer Levering; Daniel C Zielinski; Brian O McConnell; Christopher P Long; Eric P Knoshaug; Michael T Guarnieri; Maciek R Antoniewicz; Michael J Betenbaugh; Karsten Zengler
Journal:  Plant Physiol       Date:  2016-07-02       Impact factor: 8.340

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