In silico methods to predict solubility

dc.contributor.author	McDonagh, James
dc.contributor.author	Mitchell, John B. O.
dc.contributor.author	Palmer, David
dc.contributor.author	Skyner, Rachael Elaine
dc.contributor.editor	Saal, Christoph
dc.contributor.editor	Nair, Anita
dc.date.accessioned	2021-01-20T00:38:39Z
dc.date.available	2021-01-20T00:38:39Z
dc.date.issued	2020-01-20
dc.identifier	268563671
dc.identifier	480be9a4-9594-4209-9b8f-463b822382ea
dc.identifier.citation	McDonagh , J , Mitchell , J B O , Palmer , D & Skyner , R E 2020 , In silico methods to predict solubility . in C Saal & A Nair (eds) , Solubility in Pharmaceutical Chemistry . de Gruyter , pp. 71-112 . https://doi.org/10.1515/9783110559835-003	en
dc.identifier.isbn	9783110545135
dc.identifier.isbn	9783110559835
dc.identifier.isbn	9783110558883
dc.identifier.other	ORCID: /0000-0002-0379-6097/work/75996578
dc.identifier.uri	https://hdl.handle.net/10023/21288
dc.format.extent	42
dc.format.extent	939196
dc.language.iso	eng
dc.publisher	de Gruyter
dc.relation.ispartof	Solubility in Pharmaceutical Chemistry	en
dc.subject	QD Chemistry	en
dc.subject.lcc	QD	en
dc.title	In silico methods to predict solubility	en
dc.type	Book item	en
dc.contributor.institution	University of St Andrews. School of Chemistry	en
dc.contributor.institution	University of St Andrews. Biomedical Sciences Research Complex	en
dc.contributor.institution	University of St Andrews. EaSTCHEM	en
dc.identifier.doi	10.1515/9783110559835-003
dc.date.embargoedUntil	2021-01-20
dc.identifier.url	https://www.degruyter.com/view/title/533927	en