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dc.contributor.authorCotterill, J V
dc.contributor.authorPalazzolo, L
dc.contributor.authorRidgway, C
dc.contributor.authorPrice, N
dc.contributor.authorRorije, E
dc.contributor.authorMoretto, A
dc.contributor.authorPeijnenburg, A
dc.contributor.authorEberini, I
dc.date.accessioned2019-10-11T12:06:53Z
dc.date.available2019-10-11T12:06:53Z
dc.date.issued2019-09-01
dc.identifier.issn1096-0333
dc.identifier.pmid31220507
dc.identifier.doi10.1016/j.taap.2019.114630
dc.identifier.urihttp://hdl.handle.net/10029/623318
dc.language.isoenen_US
dc.subjectEstrogen receptoren_US
dc.subjectIn Silicoen_US
dc.subjectLow-mode molecular dynamics simulationen_US
dc.subjectMolecular dockingen_US
dc.subjectQSARen_US
dc.titlePredicting estrogen receptor binding of chemicals using a suite of in silico methods - Complementary approaches of (Q)SAR, molecular docking and molecular dynamics.en_US
dc.identifier.journalToxicol Appl Pharmacol 2019; 378:114630en_US
dc.source.journaltitleToxicology and applied pharmacology


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