Linked Life Data

17583943

Source:http://linkedlifedata.com/resource/pubmed/id/17583943

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
27
pubmed:dateCreated
2007-7-5
pubmed:abstractText
A new approach to rotational-echo double-resonance (REDOR) data analysis, analogous to Boltzmann maximum entropy statistics, is reported. This Boltzmann statistics REDOR (BS-REDOR) approach is useful for reconstructing an unbiased internuclear distance distribution for multiple internuclear distances from experimentally limited REDOR data sets on isolated spin pairs. The analysis is characterized by exploring reconstructions on model data and applied to both [1-(13)C,15N]-glycine and a long intramolecular distance in Abeta (16-22) peptide nanotubes. The approach also provides insight into the minimal number of REDOR data points required to allow faithful determination of dipolar couplings in systems with multiple internuclear distances.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1520-6106
pubmed:author
pubmed:issnType
Print
pubmed:day
12
pubmed:volume
111
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
7802-11
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Boltzmann statistics rotational-echo double-resonance analysis.
pubmed:affiliation
School of Chemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria 3010, Australia.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't