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dc.contributor.authorKarelson, Mati
dc.contributor.authorDobchev, Dimitar A.
dc.contributor.authorKarelson, Gunnar
dc.contributor.authorTamm, Tarmo
dc.contributor.authorTamm, Kaido
dc.contributor.authorNikonov, Andrei
dc.contributor.authorMutso, Margit
dc.contributor.authorMerits, Andres
dc.date.accessioned2017-08-15T04:26:06Z
dc.date.available2017-08-15T04:26:06Z
dc.date.issued2012
dc.identifier.issn1573-4099
dc.identifier.doi10.2174/157340912799218516
dc.identifier.urihttp://hdl.handle.net/10072/344228
dc.description.abstractA novel computational technology based on fragmentation of the chemical compounds has been used for the fast and efficient prediction of activities of prospective protease inhibitors of the hepatitis C virus. This study spans over a discovery cycle from the theoretical prediction of new HCV NS3 protease inhibitors to the first cytotoxicity experimental tests of the best candidates. The measured cytotoxicity of the compounds indicated that at least two candidates would be suitable further development of drugs.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherBentham Science Publishers Ltd
dc.relation.ispartofpagefrom55
dc.relation.ispartofpageto61
dc.relation.ispartofissue1
dc.relation.ispartofjournalCurrent Computer-Aided Drug Design
dc.relation.ispartofvolume8
dc.subject.fieldofresearchMicrobiology not elsewhere classified
dc.subject.fieldofresearchcode060599
dc.titleFragment-based development of HCV protease inhibitors for the treatment of hepatitis C
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorMutso, Margit


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