Linked Life Data

16040276

Source:http://linkedlifedata.com/resource/pubmed/id/16040276

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2005-8-3
pubmed:abstractText
Multiple sequence alignment (MSA) is one of the fundamental research topics in computational biology. The alignments help us to find functional assignment, evolutionary history and conserved region. Previous methods use a substitution matrix and do not incorporate knowledge of the sequences being aligned. Therefore, they do not assure the alignment of similar structures and common patterns in the sequences. We have been investigating into the solution to the problem in multiple and making use of knowledge of the sequences being aligned, including patterns in the Prosite databank, Blocks+, eBlocks databases, as well as motif and structural information. A pattern-constrained algorithm has been developed. Experiments with protein sequences have shown more accurate alignments with incorporation of the domain knowledge available in the sequences.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1476-9271
pubmed:author
pubmed:issnType
Print
pubmed:volume
29
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
303-7
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Pattern-constrained multiple polypeptide sequence alignment.
pubmed:affiliation
BioInformatics Research Centre, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore. duzhihua@pmail.ntu.edu.sg
pubmed:publicationType
Journal Article