Linked Life Data

15915152

Source:http://linkedlifedata.com/resource/pubmed/id/15915152

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2005-6-2
pubmed:abstractText
The focus of innovation in current drug discovery is on new targets, yet compound efficacy and safety in biological models of disease - not target selection - are the criteria that determine which drug candidates enter the clinic. We consider a biology-driven approach to drug discovery that involves screening compounds by automated response profiling in disease models based on complex human-cell systems. Drug discovery through cell systems biology could significantly reduce the time and cost of new drug development.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1474-1776
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
461-7
pubmed:dateRevised
2007-2-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Can cell systems biology rescue drug discovery?
pubmed:affiliation
Department of Pathology, Stanford University, Stanford, California 94305-5324, USA. ebutcher@stanford.edu
pubmed:publicationType
Journal Article, Review