Linked Life Data

15894230

Source:http://linkedlifedata.com/resource/pubmed/id/15894230

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2005-5-16
pubmed:abstractText
Cellular life can be represented and studied as the 'interactome'--a dynamic network of biochemical reactions and signaling interactions between active proteins. Systemic networks analysis can be used for the integration and functional interpretation of high-throughput experimental data, which are abundant in drug discovery but currently poorly utilized. The composition and topology of complex networks are closely associated with vital cellular functions, which have important implications for life science research. Here we outline recent advances in the field, available tools and applications of network analysis in drug discovery.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1359-6446
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
653-62
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Biological networks and analysis of experimental data in drug discovery.
pubmed:affiliation
GeneGo, 500 Renaissance Drive, #106, St. Joseph, MI 49085, USA. yuri@genego.com
pubmed:publicationType
Journal Article, Review