Linked Life Data

16500677

Source:http://linkedlifedata.com/resource/pubmed/id/16500677

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-5-29
pubmed:abstractText
RNA structure formation is hierarchical and, therefore, secondary structure, the sum of canonical base-pairs, can generally be predicted without knowledge of the three-dimensional structure. Secondary structure prediction algorithms evolved from predicting a single, lowest free energy structure to their current state where statistics can be determined from the thermodynamic ensemble. This article reviews the free energy minimization technique and the salient revolutions in the dynamic programming algorithm methods for secondary structure prediction. Emphasis is placed on highlighting the recently developed method, which statistically samples structures from the complete Boltzmann ensemble.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0022-2836
pubmed:author
pubmed:issnType
Print
pubmed:day
9
pubmed:volume
359
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
526-32
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Revolutions in RNA secondary structure prediction.
pubmed:affiliation
Department of Biochemistry & Biophysics, University of Rochester Medical Center, NY 14642, USA. david_mathews@urmc.rochester.edu
pubmed:publicationType
Journal Article, Review