Linked Life Data

18546515

Source:http://linkedlifedata.com/resource/pubmed/id/18546515

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-6-11
pubmed:abstractText
In silico approaches to the identification of bacterial promoters are hampered by poor conservation of their characteristic binding sites. This suggests that the usual position weight matrix models of bacterial promoters are incomplete. A number of methods have been used to overcome this inadequacy, one of which is to incorporate structural properties of DNA. In this paper we describe an extension of the promoter description to include SIDD (stress induced duplex destabilization), DNA curvature and stacking energy. Although we report the best result to date for a realistic promoter prediction task, surprisingly, DNA structural properties did not contribute significantly to this result. We also demonstrate for the first time, that sigma-54 promoters have a stronger association with SIDD than do other promoter types.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0919-9454
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
178-89
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
The in silico prediction of promoters in bacterial genomes.
pubmed:affiliation
Institute for Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia. m.towsey@qut.edu.au
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't