Linked Life Data

11187597

Source:http://linkedlifedata.com/resource/pubmed/id/11187597

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2001-1-18
pubmed:abstractText
This study considers detection of polyproline type II secondary structures from protein sequences. This difficult problem was handled with multilayer perceptron neural networks, which were found to be useful for such bioinformatics studies. Polyproline II secondary structures have not previously been tried to be predicted from sequences.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
77
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
475-9
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Neural network prediction of polyproline type II secondary structures.
pubmed:affiliation
Department of Computer Science, 33014 University of Tampere, Finland.
pubmed:publicationType
Journal Article