Literature DB >> 21846501

Fifteen years of large scale metabolic modeling of yeast: developments and impacts.

Tobias Osterlund1, Intawat Nookaew, Jens Nielsen.   

Abstract

Since the first large-scale reconstruction of the Saccharomyces cerevisiae metabolic network 15 years ago the development of yeast metabolic models has progressed rapidly, resulting in no less than nine different yeast genome-scale metabolic models. Here we review the historical development of large-scale mathematical modeling of yeast metabolism and the growing scope and impact of applications of these models in four different areas: as guide for metabolic engineering and strain improvement, as a tool for biological interpretation and discovery, applications of novel computational framework and for evolutionary studies.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21846501     DOI: 10.1016/j.biotechadv.2011.07.021

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  42 in total

Review 1.  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

Review 2.  Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies.

Authors:  Predrag Horvat; Martin Koller; Gerhart Braunegg
Journal:  World J Microbiol Biotechnol       Date:  2015-06-12       Impact factor: 3.312

3.  Reaction networks and evolutionary game theory.

Authors:  Tomas Veloz; Pablo Razeto-Barry; Peter Dittrich; Alejandro Fajardo
Journal:  J Math Biol       Date:  2012-11-23       Impact factor: 2.259

Review 4.  An overview of bioinformatics methods for modeling biological pathways in yeast.

Authors:  Jie Hou; Lipi Acharya; Dongxiao Zhu; Jianlin Cheng
Journal:  Brief Funct Genomics       Date:  2015-10-17       Impact factor: 4.241

5.  Optimizing genome-scale network reconstructions.

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

6.  Next-Generation Genome-Scale Models Incorporating Multilevel 'Omics Data: From Yeast to Human.

Authors:  Tunahan Çakır; Emel Kökrek; Gülben Avşar; Ecehan Abdik; Pınar Pir
Journal:  Methods Mol Biol       Date:  2019

7.  Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources.

Authors:  Audrey Bloem; Stephanie Rollero; Pauline Seguinot; Lucie Crépin; Marc Perez; Christian Picou; Carole Camarasa
Journal:  J Vis Exp       Date:  2018-01-22       Impact factor: 1.355

8.  Management of Multiple Nitrogen Sources during Wine Fermentation by Saccharomyces cerevisiae.

Authors:  Lucie Crépin; Nhat My Truong; Audrey Bloem; Isabelle Sanchez; Sylvie Dequin; Carole Camarasa
Journal:  Appl Environ Microbiol       Date:  2017-02-15       Impact factor: 4.792

9.  Genome-scale modeling enables metabolic engineering of Saccharomyces cerevisiae for succinic acid production.

Authors:  Rasmus Agren; José Manuel Otero; Jens Nielsen
Journal:  J Ind Microbiol Biotechnol       Date:  2013-04-23       Impact factor: 3.346

10.  Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction.

Authors:  Benjamin D Heavner; Nathan D Price
Journal:  PLoS Comput Biol       Date:  2015-11-13       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.