Linked Life Data

18542855

Source:http://linkedlifedata.com/resource/pubmed/id/18542855

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-6-10
pubmed:abstractText
Increasing the success in obtaining structures and maximizing the value of the structures determined are the two major goals of target selection in structural proteomics. This chapter presents an efficient and flexible target selection procedure supplemented with a Web-based resource that is suitable for small- to large-scale structural genomics projects that use crystallography as the major means of structure determination. Based on three criteria, biological significance, structural novelty, and "crystallizability," the approach first removes (filters) targets that do not meet minimal criteria and then ranks the remaining targets based on their "crystallizability" estimates. This novel procedure was designed to maximize selection efficiency, and its prevailing criteria categories make it suitable for a broad range of structural proteomics projects.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1064-3745
pubmed:author
pubmed:issnType
Print
pubmed:volume
426
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
27-35
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A general target selection method for crystallographic proteomics.
pubmed:affiliation
Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't