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Themed collection Integrative Approaches for Signalling and Metabolic Networks

12 items
Cover

Front cover

Graphical abstract: Front cover
Cover

Inside front cover

Graphical abstract: Inside front cover
Editorial

Integrative approaches for signalling and metabolic networks

Guest editors Vassily Hatzimanikatis and Julio Saez-Rodriguez introduce the Integrative Approaches for Signalling and Metabolic Networks themed issue of Integrative Biology.

Graphical abstract: Integrative approaches for signalling and metabolic networks
Open Access Review Article

Genome scale models of yeast: towards standardized evaluation and consistent omic integration

We review genome scale models of yeast, how are they typically evaluated, and how can they be integrated with omic data.

Graphical abstract: Genome scale models of yeast: towards standardized evaluation and consistent omic integration
Paper

Dynamic metabolic models in context: biomass backtracking

Biomass backtracking supports the integration of dynamic metabolic models into a genome scale metabolic model and provides exact drain reactions.

Graphical abstract: Dynamic metabolic models in context: biomass backtracking
Paper

Sub-optimal phenotypes of double-knockout mutants of Escherichia coli depend on the order of gene deletions

Metabolic properties of the double-knockout strain E. coli ΔaceA Δpgi are shown to depend on the order of gene inactivation.

Graphical abstract: Sub-optimal phenotypes of double-knockout mutants of Escherichia coli depend on the order of gene deletions
Paper

Invariants reveal multiple forms of robustness in bifunctional enzyme systems

High-throughput algebraic calculations reveal that bifunctional enzymes can implement many forms of robust control.

Graphical abstract: Invariants reveal multiple forms of robustness in bifunctional enzyme systems
Paper

Investigating Moorella thermoacetica metabolism with a genome-scale constraint-based metabolic model

Moorella thermoacetica is a strictly anaerobic, endospore-forming, and metabolically versatile acetogenic bacterium capable of conserving energy by both autotrophic (acetogenesis) and heterotrophic (homoacetogenesis) modes of metabolism.

Graphical abstract: Investigating Moorella thermoacetica metabolism with a genome-scale constraint-based metabolic model
Open Access Paper

Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury

An Integer Linear Programming (ILP) formulation is introduced to model the modes of action of lung toxic drugs based on gene expression data and prior knowledge of protein connectivity.

Graphical abstract: Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury
Paper

Predicting genetic interactions from Boolean models of biological networks

The network representation of the cell fate decision model (Calzone et al., 2010) is used to generate a genetic interaction network for the apoptosis phenotype. Most genetic interactions are epistatic, single nonmonotonic, and additive (Drees et al., 2005).

Graphical abstract: Predicting genetic interactions from Boolean models of biological networks
Paper

An entropy-like index of bifurcational robustness for metabolic systems

Natural and synthetic metabolic pathways need to retain stability when faced against random changes in gene expression levels and kinetic parameters.

Graphical abstract: An entropy-like index of bifurcational robustness for metabolic systems
Frontier

Reconstruction of genome-scale human metabolic models using omics data

Genome-scale metabolic models of human cells and tissues can be reconstructed using omics data for systematic and personalized medicine.

Graphical abstract: Reconstruction of genome-scale human metabolic models using omics data
12 items

About this collection

Living cells are composed of chemical and biophysical processes that are integrated into networks. The complex behaviour of life emerges from the function of these networks. Signal transduction and metabolism are two central cellular processes and their function is important for almost every problem in basic biology, medical and biotechnological applications. The study of these processes in the context of their network structure and function lies at the heart of integrative biology. This themed issue guest edited by Vassily Hatzimanikatis and Julio Saez-Rodriguez features original research and review articles on the experimental study and computational analysis of signal transduction and metabolism.

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