Simulating the growth of viruses.

Published

Journal Article

To explore how the genome of an organism defines its growth, we have developed a computer simulation for the intracellular growth of phage T7 on its E. coli host. Our simulation, which incorporates 30 years of genetic, biochemical, physiological, and biophysical data, is used here to study how the intracellular resources of the host, determined by the specific growth rate of the host, contribute toward phage development. It is also used to probe how changes in the linear organization of genetic elements on the T7 genome can affect T7 development. Further, we show how time-series trajectories of T7 mRNA and protein levels generated by the simulation may be used as raw data to test data-mining strategies, specifically, to identify partners in protein-protein interactions. Finally, we suggest how generalization of this work can lead to a knowledge-driven simulation for the growth of any virus.

Full Text

Duke Authors

Cited Authors

  • You, L; Yin, J

Published Date

  • January 2001

Published In

Start / End Page

  • 532 - 543

PubMed ID

  • 11262971

Pubmed Central ID

  • 11262971

Electronic International Standard Serial Number (EISSN)

  • 2335-6936

International Standard Serial Number (ISSN)

  • 2335-6928

Language

  • eng