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A Network-Based Approach to Cell MetabolismEffects of Reaction Knockouts on Steady States of Metabolism

A Network-Based Approach to Cell Metabolism: Effects of Reaction Knockouts on Steady States of... [The activity and essentiality of metabolic reactions of two model organisms, Escherichia coli and Mycoplasma pneumoniae, are studied using flux balance analysis in different environments. In particular, synthetic lethal pairs correspond to combinations of active and active or inactive non-essential reactions whose simultaneous deletion causes cell death. Lethal knockouts of pairs of reactions separate in two different groups depending on whether the pair of reactions works as a backup or as a parallel use mechanism, the first corresponding to essential plasticity and the second to essential redundancy. Within this perspective, functional plasticity and redundancy are essential mechanisms underlying the ability to survive of metabolic networks.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Network-Based Approach to Cell MetabolismEffects of Reaction Knockouts on Steady States of Metabolism

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References (36)

Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2017
ISBN
978-3-319-63999-4
Pages
77 –100
DOI
10.1007/978-3-319-64000-6_4
Publisher site
See Chapter on Publisher Site

Abstract

[The activity and essentiality of metabolic reactions of two model organisms, Escherichia coli and Mycoplasma pneumoniae, are studied using flux balance analysis in different environments. In particular, synthetic lethal pairs correspond to combinations of active and active or inactive non-essential reactions whose simultaneous deletion causes cell death. Lethal knockouts of pairs of reactions separate in two different groups depending on whether the pair of reactions works as a backup or as a parallel use mechanism, the first corresponding to essential plasticity and the second to essential redundancy. Within this perspective, functional plasticity and redundancy are essential mechanisms underlying the ability to survive of metabolic networks.]

Published: Aug 17, 2017

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