Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/20663
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBITENCOURT-FERREIRA, GABRIELA-
dc.contributor.authorRIZZOTTO, CAMILA-
dc.contributor.authorWalter Filgueira de Azevedo Junior-
dc.date.accessioned2021-12-22T17:26:21Z-
dc.date.available2021-12-22T17:26:21Z-
dc.date.issued2020-
dc.identifier.issn0929-8673-
dc.identifier.urihttps://hdl.handle.net/10923/20663-
dc.language.isoen-
dc.relation.ispartofCURRENT MEDICINAL CHEMISTRY-
dc.rightsopenAccess-
dc.subjectScoring Function Space-
dc.subjectBinding affinity-
dc.subjectSAnDReS-
dc.subjectMachine learning-
dc.subjectCDK-
dc.subjectGibbs free energy-
dc.titleMachine Learning-Based Scoring Functions. Development and Applications with SAnDReS.-
dc.typeArticle-
dc.date.updated2021-12-22T17:26:20Z-
dc.identifier.doiDOI:10.2174/0929867327666200515101820-
dc.jtitleCURRENT MEDICINAL CHEMISTRY-
dc.volume27-
dc.spage1746-
dc.epage1756-
Appears in Collections:Artigo de Periódico

Files in This Item:
File Description SizeFormat 
Machine_LearningBased_Scoring_Functions_Development_and_Applications_with_SAnDReS.pdf1,64 MBAdobe PDFOpen
View


All Items in PUCRS Repository are protected by copyright, with all rights reserved, and are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Read more.