Linked Life Data

15572770

Source:http://linkedlifedata.com/resource/pubmed/id/15572770

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 12 Pt 1
pubmed:dateCreated
2004-12-1
pubmed:abstractText
Maximum-likelihood methods have now been applied to most areas of macromolecular crystallography, including data reduction, molecular replacement, experimental phasing and refinement. However, students of macromolecular crystallography are predominantly taught only traditional crystallographic methods and therefore have little understanding of the methods underlying the modern software that they routinely use in structure determination. This situation arises, at least in part, because maximum likelihood is considered to be too difficult to be taught to students who lack substantial mathematical training within the limited time frame of undergraduate/graduate courses. A method of introducing maximum-likelihood concepts with the help of dice is described here and it is then shown how these concepts can form the core of understanding maximum-likelihood refinement, molecular replacement and experimental phasing. Within the framework described, the crystallographic maximum-likelihood techniques are all reduced to the same basic concepts and become easier and less time-consuming to teach than traditional methods, which rely on disparate concepts.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0907-4449
pubmed:author
pubmed:issnType
Print
pubmed:volume
60
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2169-83
pubmed:dateRevised
2007-7-24
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Liking likelihood.
pubmed:affiliation
University of Cambridge, Department of Haematology, Cambridge Institute for Medical Research, Wellcome Trust/MRC Building, Hills Road, Cambridge CB2 2XY, England. ajm201@cam.ac.uk
pubmed:publicationType
Journal Article