Literature DB >> 19946878

Accomplishments in genome-scale in silico modeling for industrial and medical biotechnology.

Caroline B Milne1, Pan-Jun Kim, James A Eddy, Nathan D Price.   

Abstract

Driven by advancements in high-throughput biological technologies and the growing number of sequenced genomes, the construction of in silico models at the genome scale has provided powerful tools to investigate a vast array of biological systems and applications. Here, we review comprehensively the uses of such models in industrial and medical biotechnology, including biofuel generation, food production, and drug development. While the use of in silico models is still in its early stages for delivering to industry, significant initial successes have been achieved. For the cases presented here, genome-scale models predict engineering strategies to enhance properties of interest in an organism or to inhibit harmful mechanisms of pathogens. Going forward, genome-scale in silico models promise to extend their application and analysis scope to become a trans-formative tool in biotechnology.

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Year:  2009        PMID: 19946878      PMCID: PMC3160784          DOI: 10.1002/biot.200900234

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  120 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.  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

3.  Modular epistasis in yeast metabolism.

Authors:  Daniel Segrè; Alexander Deluna; George M Church; Roy Kishony
Journal:  Nat Genet       Date:  2004-12-12       Impact factor: 38.330

4.  Analysis of growth of Lactobacillus plantarum WCFS1 on a complex medium using a genome-scale metabolic model.

Authors:  Bas Teusink; Anne Wiersma; Douwe Molenaar; Christof Francke; Willem M de Vos; Roland J Siezen; Eddy J Smid
Journal:  J Biol Chem       Date:  2006-10-24       Impact factor: 5.157

5.  A dynamic, genome-scale flux model of Lactococcus lactis to increase specific recombinant protein expression.

Authors:  Gian M Oddone; David A Mills; David E Block
Journal:  Metab Eng       Date:  2009-08-08       Impact factor: 9.783

6.  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

7.  Geobacter sulfurreducens strain engineered for increased rates of respiration.

Authors:  Mounir Izallalen; Radhakrishnan Mahadevan; Anthony Burgard; Bradley Postier; Raymond Didonato; Jun Sun; Christopher H Schilling; Derek R Lovley
Journal:  Metab Eng       Date:  2008-06-27       Impact factor: 9.783

8.  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

9.  Constraint-based analysis of metabolic capacity of Salmonella typhimurium during host-pathogen interaction.

Authors:  Anu Raghunathan; Jennifer Reed; Sookil Shin; Bernhard Palsson; Simon Daefler
Journal:  BMC Syst Biol       Date:  2009-04-08

10.  The Edinburgh human metabolic network reconstruction and its functional analysis.

Authors:  Hongwu Ma; Anatoly Sorokin; Alexander Mazein; Alex Selkov; Evgeni Selkov; Oleg Demin; Igor Goryanin
Journal:  Mol Syst Biol       Date:  2007-09-18       Impact factor: 11.429

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  37 in total

1.  Systems biology approaches to understanding mycobacterial survival mechanisms.

Authors:  Helena I M Boshoff; Desmond S Lun
Journal:  Drug Discov Today Dis Mech       Date:  2010

Review 2.  Transparency in metabolic network reconstruction enables scalable biological discovery.

Authors:  Benjamin D Heavner; Nathan D Price
Journal:  Curr Opin Biotechnol       Date:  2015-01-03       Impact factor: 9.740

3.  A kidney-specific genome-scale metabolic network model for analyzing focal segmental glomerulosclerosis.

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

4.  A refined genome-scale reconstruction of Chlamydomonas metabolism provides a platform for systems-level analyses.

Authors:  Saheed Imam; Sascha Schäuble; Jacob Valenzuela; Adrián López García de Lomana; Warren Carter; Nathan D Price; Nitin S Baliga
Journal:  Plant J       Date:  2015-11-30       Impact factor: 6.417

5.  Genome-scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A.

Authors:  Matthew N Benedict; Matthew C Gonnerman; William W Metcalf; Nathan D Price
Journal:  J Bacteriol       Date:  2011-12-02       Impact factor: 3.490

Review 6.  Towards a predictive systems-level model of the human microbiome: progress, challenges, and opportunities.

Authors:  Sharon Greenblum; Hsuan-Chao Chiu; Roie Levy; Rogan Carr; Elhanan Borenstein
Journal:  Curr Opin Biotechnol       Date:  2013-04-23       Impact factor: 9.740

Review 7.  An argument for mechanism-based statistical inference in cancer.

Authors:  Donald Geman; Michael Ochs; Nathan D Price; Cristian Tomasetti; Laurent Younes
Journal:  Hum Genet       Date:  2014-11-09       Impact factor: 4.132

8.  FASIMU: flexible software for flux-balance computation series in large metabolic networks.

Authors:  Andreas Hoppe; Sabrina Hoffmann; Andreas Gerasch; Christoph Gille; Hermann-Georg Holzhütter
Journal:  BMC Bioinformatics       Date:  2011-01-22       Impact factor: 3.169

Review 9.  21st century natural product research and drug development and traditional medicines.

Authors:  Linh T Ngo; Joseph I Okogun; William R Folk
Journal:  Nat Prod Rep       Date:  2013-04       Impact factor: 13.423

Review 10.  Genome-scale modelling of microbial metabolism with temporal and spatial resolution.

Authors:  Michael A Henson
Journal:  Biochem Soc Trans       Date:  2015-12       Impact factor: 5.407

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