Linked Life Data

12766394

Source:http://linkedlifedata.com/resource/pubmed/id/12766394

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2003-5-26
pubmed:abstractText
A number of different dynamics models are considered for fitting (13)C and (2)H side chain methyl relaxation rates. It is shown that in cases where nanosecond time scale dynamics are present the extended Lipari-Szabo model which is explicitly parameterized to include the effects of slow motions can produce wide distributions of fitting parameters even in cases where the errors are relatively small and large numbers of relaxation rates are considered. In contrast, fits of (15)N backbone dynamics using this model are far more robust. The origin of this difference is analyzed and can be explained by the different functional forms of the spectral density in these two cases. The utility of a number of models for the analysis of methyl side chain dynamics is presented.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0925-2738
pubmed:author
pubmed:issnType
Print
pubmed:volume
25
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
325-33
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Model selection for the interpretation of protein side chain methyl dynamics.
pubmed:affiliation
The Protein Engineering Network Center of Excellence, University of Toronto, Toronto, Ontario, Canada M5S 1A8.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't