Literature DB >> 25578304

Genome-scale modeling for metabolic engineering.

Evangelos Simeonidis1, Nathan D Price.   

Abstract

We focus on the application of constraint-based methodologies and, more specifically, flux balance analysis in the field of metabolic engineering, and enumerate recent developments and successes of the field. We also review computational frameworks that have been developed with the express purpose of automatically selecting optimal gene deletions for achieving improved production of a chemical of interest. The application of flux balance analysis methods in rational metabolic engineering requires a metabolic network reconstruction and a corresponding in silico metabolic model for the microorganism in question. For this reason, we additionally present a brief overview of automated reconstruction techniques. Finally, we emphasize the importance of integrating metabolic networks with regulatory information-an area which we expect will become increasingly important for metabolic engineering-and present recent developments in the field of metabolic and regulatory integration.

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Year:  2015        PMID: 25578304      PMCID: PMC4455951          DOI: 10.1007/s10295-014-1576-3

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  112 in total

1.  Regulation of gene expression in flux balance models of metabolism.

Authors:  M W Covert; C H Schilling; B Palsson
Journal:  J Theor Biol       Date:  2001-11-07       Impact factor: 2.691

2.  Computational reconstruction of metabolic networks from KEGG.

Authors:  Tingting Zhou
Journal:  Methods Mol Biol       Date:  2013

3.  A whole-cell computational model predicts phenotype from genotype.

Authors:  Jonathan R Karr; Jayodita C Sanghvi; Derek N Macklin; Miriam V Gutschow; Jared M Jacobs; Benjamin Bolival; Nacyra Assad-Garcia; John I Glass; Markus W Covert
Journal:  Cell       Date:  2012-07-20       Impact factor: 41.582

4.  Design, construction and performance of the most efficient biomass producing E. coli bacterium.

Authors:  Cong T Trinh; Ross Carlson; Aaron Wlaschin; Friedrich Srienc
Journal:  Metab Eng       Date:  2006-08-15       Impact factor: 9.783

Review 5.  Frontiers of yeast metabolic engineering: diversifying beyond ethanol and Saccharomyces.

Authors:  Leqian Liu; Heidi Redden; Hal S Alper
Journal:  Curr Opin Biotechnol       Date:  2013-03-28       Impact factor: 9.740

6.  Genomically and biochemically accurate metabolic reconstruction of Methanosarcina barkeri Fusaro, iMG746.

Authors:  Matthew C Gonnerman; Matthew N Benedict; Adam M Feist; William W Metcalf; Nathan D Price
Journal:  Biotechnol J       Date:  2013-03-26       Impact factor: 4.677

7.  Enhancing sesquiterpene production in Saccharomyces cerevisiae through in silico driven metabolic engineering.

Authors:  Mohammad A Asadollahi; Jérôme Maury; Kiran Raosaheb Patil; Michel Schalk; Anthony Clark; Jens Nielsen
Journal:  Metab Eng       Date:  2009-07-18       Impact factor: 9.783

8.  Xylose isomerase overexpression along with engineering of the pentose phosphate pathway and evolutionary engineering enable rapid xylose utilization and ethanol production by Saccharomyces cerevisiae.

Authors:  Hang Zhou; Jing-Sheng Cheng; Benjamin L Wang; Gerald R Fink; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2012-08-16       Impact factor: 9.783

9.  A genome-scale computational study of the interplay between transcriptional regulation and metabolism.

Authors:  Tomer Shlomi; Yariv Eisenberg; Roded Sharan; Eytan Ruppin
Journal:  Mol Syst Biol       Date:  2007-04-17       Impact factor: 11.429

10.  MicrobesFlux: a web platform for drafting metabolic models from the KEGG database.

Authors:  Xueyang Feng; You Xu; Yixin Chen; Yinjie J Tang
Journal:  BMC Syst Biol       Date:  2012-08-02
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  31 in total

1.  A Genome-Scale Metabolic Model of Soybean (Glycine max) Highlights Metabolic Fluxes in Seedlings.

Authors:  Thiago Batista Moreira; Rahul Shaw; Xinyu Luo; Oishik Ganguly; Hyung-Seok Kim; Lucas Gabriel Ferreira Coelho; Chun Yue Maurice Cheung; Thomas Christopher Rhys Williams
Journal:  Plant Physiol       Date:  2019-06-06       Impact factor: 8.340

2.  Editorial.

Authors:  Jens Nielsen; Ramon Gonzalez
Journal:  J Ind Microbiol Biotechnol       Date:  2015-03       Impact factor: 3.346

3.  Classic Spotlight: Metabolic Flux-Which Way To Go?

Authors:  William W Metcalf
Journal:  J Bacteriol       Date:  2016-11-18       Impact factor: 3.490

4.  Applications of a metabolic network model of mesenchymal stem cells for controlling cell proliferation and differentiation.

Authors:  Hamideh Fouladiha; Sayed-Amir Marashi; Mohammad Ali Shokrgozar; Mehdi Farokhi; Amir Atashi
Journal:  Cytotechnology       Date:  2017-10-04       Impact factor: 2.058

5.  Dynamic metabolic control: towards precision engineering of metabolism.

Authors:  Di Liu; Ahmad A Mannan; Yichao Han; Diego A Oyarzún; Fuzhong Zhang
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-29       Impact factor: 3.346

Review 6.  Path to improving the life cycle and quality of genome-scale models of metabolism.

Authors:  Yara Seif; Bernhard Ørn Palsson
Journal:  Cell Syst       Date:  2021-09-22       Impact factor: 11.091

7.  A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications.

Authors:  Nicole Pearcy; Marco Garavaglia; Thomas Millat; James P Gilbert; Yoseb Song; Hassan Hartman; Craig Woods; Claudio Tomi-Andrino; Rajesh Reddy Bommareddy; Byung-Kwan Cho; David A Fell; Mark Poolman; John R King; Klaus Winzer; Jamie Twycross; Nigel P Minton
Journal:  PLoS Comput Biol       Date:  2022-05-23       Impact factor: 4.779

Review 8.  Bioproduction of riboflavin: a bright yellow history.

Authors:  José Luis Revuelta; Rodrigo Ledesma-Amaro; Patricia Lozano-Martinez; David Díaz-Fernández; Rubén M Buey; Alberto Jiménez
Journal:  J Ind Microbiol Biotechnol       Date:  2016-09-30       Impact factor: 3.346

9.  Condition-specific series of metabolic sub-networks and its application for gene set enrichment analysis.

Authors:  Van Du T Tran; Sébastien Moretti; Alix T Coste; Sara Amorim-Vaz; Dominique Sanglard; Marco Pagni
Journal:  Bioinformatics       Date:  2019-07-01       Impact factor: 6.937

Review 10.  Systems Biology of Microbial Exopolysaccharides Production.

Authors:  Ozlem Ates
Journal:  Front Bioeng Biotechnol       Date:  2015-12-18
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