Linked Life Data

20303956

Source:http://linkedlifedata.com/resource/pubmed/id/20303956

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2010-4-12
pubmed:abstractText
Here we report a thorough analysis of cross-predictions between coiled-coil and disordered protein segments using various prediction algorithms for both sequence classes. Coiled-coils are often predicted to be unstructured, consistent with their obligate multimeric nature, whereas reverse cross-predictions are rare due to the regularity of coiled-coil sequences. We propose the simultaneous use of the programs Coils and IUPred to achieve acceptable prediction accuracy and minimize the extent of cross-predictions. The relevance of observed cross-predictions might be that disordered sequences can adopt coiled-coil conformation relatively easily during protein evolution.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1873-3468
pubmed:author
pubmed:copyrightInfo
Copyright 2010 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
pubmed:issnType
Electronic
pubmed:day
16
pubmed:volume
584
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1623-7
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Folded-unfolded cross-predictions and protein evolution: the case study of coiled-coils.
pubmed:affiliation
Eötvös Loránd University, Institute of Chemistry, Structural Chemistry and Biology Laboratory, Budapest, Hungary.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't