Linked Life Data

19046675

Source:http://linkedlifedata.com/resource/pubmed/id/19046675

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-12-2
pubmed:abstractText
In this study, the quantitative structure-activity relationship (QSAR) of a series of 2-aminothiazole based Lck inhibitors was investigated. The key structural features responsible for the inhibition activities were discussed in detail. A population of 100 rigorously validated linear QSAR models were established based on the descriptors calculated in DRAGON program and selected by genetic algorithm (GA). A total of 36 descriptors were involved in all the QSAR models. Then the common descriptors appeared in all the models were extracted to build the final QSAR model. As a result, the final 8-parameter QSAR model was established. After analysis of the eight descriptors, some advice was proposed to help the design of possible novel inhibitors with higher bioactivity.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1873-4324
pubmed:author
pubmed:issnType
Electronic
pubmed:day
5
pubmed:volume
631
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
29-39
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Validated quantitative structure-activity relationship analysis of a series of 2-aminothiazole based p56(Lck) inhibitors.
pubmed:affiliation
Department of Chemistry, Lanzhou University, Lanzhou 730000, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't