Linked Life Data

9129837

Source:http://linkedlifedata.com/resource/pubmed/id/9129837

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1997-6-30
pubmed:abstractText
High-resolution orientational constraints from solid-state NMR spectroscopy of uniformly aligned biological macromolecules provide a great structural analysis problem. Several approaches to this problem have been made in the past. Here a vector algebra method is developed that provides analytical solutions for the torsion angles and a concise and simple view of the structural possibilities. Numerical instabilities in this approach are easily predicted. Insight into how the structural ambiguities arise in the first place and how they can be reduced in number is demonstrated with this new approach.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0006-3495
pubmed:author
pubmed:issnType
Print
pubmed:volume
72
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2342-8
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Protein structural analysis from solid-state NMR-derived orientational constraints.
pubmed:affiliation
Department of Mathematics, Florida State University, Tallahassee 32306, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't