An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes-Reference-Cited by-同舟云学术

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An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes

Published:2014-07-05 Issue:3 Volume:13 Page:321-331
ISSN:1567-7818
Container-title:Natural Computing
language:en
Short-container-title:Nat Comput

Author:

Damiani Chiara,Pescini Dario,Colombo Riccardo,Molinari Sara,Alberghina Lilia,Vanoni Marco,Mauri Giancarlo

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11047-014-9439-4.pdf

Reference39 articles.

1. Alberghina L, Gaglio D, Moresco RM, Gilardi MC, Messa C, Vanoni M (2013) A systems biology road map for the discovery of drugs targeting cancer cell metabolism. Curr Pharm Des 20(15):2648–2666

2. Alberghina L, Westerhoff HV (eds) (2005) Systems biology: definitions and perspectives, volume 13 of topics in current genetics. Springer, Berlin

3. Almaas E, Kovács B, Vicsek T, Oltvai Z, Barabási A-L (2004) Global organization of metabolic fluxes in the bacterium Escherichia coli. Nature 427(6977):839–843

4. Barford JP, Hall RJ (1979) An examination of the Crabtree effect in Saccharomyces cerevisiae: the role of respiratory adaptation. J Gen Microbiol 114(2):267–275

5. Beardmore RE, Gudelj I, Lipson DA, Hurst LD (2011) Metabolic trade-offs and the maintenance of the fittest and the flattest. Nature 472(7343):342–346

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