Linked Life Data

16873500

Source:http://linkedlifedata.com/resource/pubmed/id/16873500

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
14
pubmed:dateCreated
2006-7-28
pubmed:abstractText
The study of biological systems, pathways and processes relies increasingly on analyses of networks. Most often, such analyses focus on network topology, thereby treating all proteins or genes as identical, featureless nodes. Integrating molecular data and insights about the qualities of individual proteins into the analysis may enhance our ability to decipher biological pathways and processes.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e402-7
pubmed:dateRevised
2009-11-4
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Create and assess protein networks through molecular characteristics of individual proteins.
pubmed:affiliation
Department of Biochemistry and Molecular Biophysics, Columbia University, 650 West 168th Street, New York, NY 10032, USA. ofran@cubic.bioc.columbia.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural