Predicting the relative binding affinity of mineralocorticoid receptor antagonists by density functional methods.

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Bibliographic Details
Title:	Predicting the relative binding affinity of mineralocorticoid receptor antagonists by density functional methods.
Authors:	Roos K; RIA Medicinal Chemistry, AstraZeneca, Pepparedsleden 1, 431 83, Mölndal, Sweden. katarina.roos@gmail.com., Hogner A; CVMD Medicinal Chemistry, AstraZeneca, Pepparedsleden 1, 431 83, Mölndal, Sweden., Ogg D; Discovery Sciences, AstraZeneca, Alderley Park, Macclesfield, Cheshire, SK10 4TF, UK., Packer MJ; Oncology Medicinal Chemistry, AstraZeneca, Alderley Park, Macclesfield, Cheshire, SK10 4TF, UK., Hansson E; Discovery Sciences, AstraZeneca, Pepparedsleden 1, 431 83, Mölndal, Sweden., Granberg KL; CVMD Medicinal Chemistry, AstraZeneca, Pepparedsleden 1, 431 83, Mölndal, Sweden., Evertsson E; RIA Medicinal Chemistry, AstraZeneca, Pepparedsleden 1, 431 83, Mölndal, Sweden., Nordqvist A; CVMD Medicinal Chemistry, AstraZeneca, Pepparedsleden 1, 431 83, Mölndal, Sweden. anneli.nordqvist@astrazeneca.com.
Source:	Journal of computer-aided molecular design [J Comput Aided Mol Des] 2015 Dec; Vol. 29 (12), pp. 1109-22. Date of Electronic Publication: 2015 Nov 16.
Publication Type:	Journal Article
Journal Info:	Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1573-4951
DOI:	10.1007/s10822-015-9880-1