Linked Life Data

20459125

Source:http://linkedlifedata.com/resource/pubmed/id/20459125

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2010-6-3
pubmed:abstractText
In the quest for safe, efficacious kinase inhibitors as drugs, selectivity is often assessed early using kinase profiling panels. Here we present a selectivity index based on thermodynamics principles that can help in analysis of the resulting data. The "partition" selectivity index is easy to calculate and is applicable in certain situations where other widely used indices are not. It is uniquely useful in analysis of small, focused selectivity panel data frequently encountered in medicinal chemistry hit-to-lead and lead optimization. For larger "kinome" panels, the partition index allows assessment of selectivity relative to a kinase or multiple kinases of interest.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1520-4804
pubmed:author
pubmed:issnType
Electronic
pubmed:day
10
pubmed:volume
53
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4502-10
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Analysis of kinase inhibitor selectivity using a thermodynamics-based partition index.
pubmed:affiliation
Molecular Structure Department, Amgen Inc., 360 Binney Street, Cambridge, Massachusetts 02142, USA. alan.cheng@amgen.com
pubmed:publicationType
Journal Article