An automated phenotype-driven approach (GeneForce) for refining metabolic and regulatory models.

Abstract excerpt

Integrated constraint-based metabolic and regulatory models can accurately predict cellular growth phenotypes arising from genetic and environmental perturbations. Challenges in constructing such models involve the limited availability of information about transcription factor--gene target interactions and computational methods to quickly refine models based on additional datasets. In this study, we developed an...

Topics

• Algorithms
• Computational Biology
• Escherichia coli
• Gene Regulatory Networks
• Metabolic Networks and Pathways
• Models, Biological
• Phenotype
• Reproducibility of Results
• Salmonella typhi