Linked Life Data

15729666

Source:http://linkedlifedata.com/resource/pubmed/id/15729666

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2005-2-24
pubmed:abstractText
We construct a mathematical model of the within-cell replication of poliovirus, a prototypic RNA virus, and use realistic parameter estimates to describe the increase of copy number of the viral genome. Our initial model is essentially an exponential growth model; we also consider modifications of this model to account for resource utilization. The saturation of viral replication dynamics observed in experimental systems can be explained in terms of heavy resource use by the virus. We then use our models to consider the conditions under which the growth of poliovirus is optimized. Intriguingly, if poliovirus has optimized its replication within cells, the predicted ratio of positive to negative strands is close to what is actually observed. We interpret our findings in terms of the evolution of life-history traits.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1537-5323
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
165
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
364-73
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Optimal replication of poliovirus within cells.
pubmed:affiliation
Department of Biology, Emory University, Atlanta, Georgia 30322, USA. rregoes@emory.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural