Linked Life Data

7537339

Source:http://linkedlifedata.com/resource/pubmed/id/7537339

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1995-5-26
pubmed:abstractText
Comparative sequence analysis has proven to be a very efficient tool for the determination of RNA secondary structure and certain tertiary interactions. However, base-triples, an important RNA structural element, cannot be predicted accurately from sequence data. We show here that the poor base correlations observed at base-triple positions are the result of two factors. (1) Base covariation is not as strictly required in triples as it is in Watson-Crick pairs. (2) Base-triple structures are less conserved among homologous molecules. A particularity of known triple-helical regions is the presence of multiple base correlations that do not reflect direct pairing. We suggest that natural mutations in base-triples create structural changes that require compensatory mutations in adjacent base-pairs and triples to maintain the triple-helix conformation. On the basis of these observations, we devised two new measures of association that significantly enhance the base-triple signal in correlation studies. We evaluated correlations between base-pairs and single stranded bases, and correlations between adjacent base-pairs. Positions that score well in both analyses are the best triple candidates. This procedure correctly identifies triples, or interactions very close to the proposed triples, in type I and type II tRNAs and in the group I intron.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0022-2836
pubmed:author
pubmed:issnType
Print
pubmed:day
21
pubmed:volume
248
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
27-43
pubmed:dateRevised
2011-8-16
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Identification of base-triples in RNA using comparative sequence analysis.
pubmed:affiliation
Department of Molecular, Cellular and Developmental Biology, Universityof Colorado, Boulder 80309-0347, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't