Using mathematical models to understand metabolism, genes, and disease.

Published

Journal Article

Mathematical models are a useful tool for investigating a large number of questions in metabolism, genetics, and gene-environment interactions. A model based on the underlying biology and biochemistry is a platform for in silico biological experimentation that can reveal the causal chain of events that connect variation in one quantity to variation in another. We discuss how we construct such models, how we have used them to investigate homeostatic mechanisms, gene-environment interactions, and genotype-phenotype mapping, and how they can be used in precision and personalized medicine.

Full Text

Duke Authors

Cited Authors

  • Nijhout, HF; Best, JA; Reed, MC

Published Date

  • January 2015

Published In

Volume / Issue

  • 13 /

Start / End Page

  • 79 -

PubMed ID

  • 26400419

Pubmed Central ID

  • 26400419

Electronic International Standard Serial Number (EISSN)

  • 1741-7007

International Standard Serial Number (ISSN)

  • 1741-7007

Digital Object Identifier (DOI)

  • 10.1186/s12915-015-0189-2

Language

  • eng