PAIN(S) relievers for medicinal chemists: how computational methods can assist in hit evaluation. (29th June 2018)

Record Type:: Journal Article
Title:: PAIN(S) relievers for medicinal chemists: how computational methods can assist in hit evaluation. (29th June 2018)
Main Title:: PAIN(S) relievers for medicinal chemists: how computational methods can assist in hit evaluation
Authors:: Stork, Conrad
Kirchmair, Johannes
Abstract:
Is Part Of:: Future medicinal chemistry. Volume 10:Number 13(2018)
Journal:: Future medicinal chemistry
Issue:: Volume 10:Number 13(2018)
Issue Display:: Volume 10, Issue 13 (2018)
Year:: 2018
Volume:: 10
Issue:: 13
Issue Sort Value:: 2018-0010-0013-0000
Page Start:: 1533
Page End:: 1535
Publication Date:: 2018-06-29
Subjects:: aggregators -- frequent hitters -- in silico prediction -- in vitro screening -- machine learning -- molecular similarity -- PAINS -- promiscuous compounds -- rule-based approaches -- statistical methods
Pharmaceutical chemistry -- Periodicals
615.19005
Journal URLs:: http://www.future-science-group.com/m/102 ↗
http://www.future-science.com/ ↗
DOI:: 10.4155/fmc-2018-0116 ↗
Languages:: English
ISSNs:: 1756-8919
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 21782.xml