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Literature DB >> 22859200

Systems biology: A cell in a computer.

Mark Isalan.

Abstract

Mesh：

Year: 2012 PMID： 22859200 DOI： 10.1038/488040a

Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962

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References

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11 in total

1. Simple lessons from complexity

Authors:
Journal: Science Date: 1999-04-02 Impact factor: 47.728

2. Predicting mutation outcome from early stochastic variation in genetic interaction partners.

Authors: Alejandro Burga; M Olivia Casanueva; Ben Lehner
Journal: Nature Date: 2011-12-07 Impact factor: 49.962

3. Impact of genome reduction on bacterial metabolism and its regulation.

Authors: Eva Yus; Tobias Maier; Konstantinos Michalodimitrakis; Vera van Noort; Takuji Yamada; Wei-Hua Chen; Judith A H Wodke; Marc Güell; Sira Martínez; Ronan Bourgeois; Sebastian Kühner; Emanuele Raineri; Ivica Letunic; Olga V Kalinina; Michaela Rode; Richard Herrmann; Ricardo Gutiérrez-Gallego; Robert B Russell; Anne-Claude Gavin; Peer Bork; Luis Serrano
Journal: Science Date: 2009-11-27 Impact factor: 47.728

4. Transcriptome complexity in a genome-reduced bacterium.

Authors: Marc Güell; Vera van Noort; Eva Yus; Wei-Hua Chen; Justine Leigh-Bell; Konstantinos Michalodimitrakis; Takuji Yamada; Manimozhiyan Arumugam; Tobias Doerks; Sebastian Kühner; Michaela Rode; Mikita Suyama; Sabine Schmidt; Anne-Claude Gavin; Peer Bork; Luis Serrano
Journal: Science Date: 2009-11-27 Impact factor: 47.728

5. Proteome organization in a genome-reduced bacterium.

Authors: Sebastian Kühner; Vera van Noort; Matthew J Betts; Alejandra Leo-Macias; Claire Batisse; Michaela Rode; Takuji Yamada; Tobias Maier; Samuel Bader; Pedro Beltran-Alvarez; Daniel Castaño-Diez; Wei-Hua Chen; Damien Devos; Marc Güell; Tomas Norambuena; Ines Racke; Vladimir Rybin; Alexander Schmidt; Eva Yus; Ruedi Aebersold; Richard Herrmann; Bettina Böttcher; Achilleas S Frangakis; Robert B Russell; Luis Serrano; Peer Bork; Anne-Claude Gavin
Journal: Science Date: 2009-11-27 Impact factor: 47.728

Systems biology: A cell in a computer.

1. Simple lessons from complexity

2. Predicting mutation outcome from early stochastic variation in genetic interaction partners.

3. Impact of genome reduction on bacterial metabolism and its regulation.

4. Transcriptome complexity in a genome-reduced bacterium.

5. Proteome organization in a genome-reduced bacterium.

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

7. Predicting phenotypic variation in yeast from individual genome sequences.

8. Adaptation by stochastic switching of a monostable genetic circuit in Escherichia coli.

9. Adaptive response of a gene network to environmental changes by fitness-induced attractor selection.

10. Gene networks and liar paradoxes.