Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12779/4480
DC FieldValueLanguage
dc.contributor.authorManetti, Fabrizioen_us
dc.contributor.authorCorelli, Federicoen_us
dc.contributor.authorBiava, Men_us
dc.contributor.authorFioravanti, Ren_us
dc.contributor.authorPorretta, Gcen_us
dc.contributor.authorBotta, Maurizioen_us
dc.date.accessioned2021-03-30T14:44:20Z-
dc.date.available2021-03-30T14:44:20Z-
dc.date.issued2000-
dc.identifier.issn0014-827Xen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12779/4480-
dc.description35860en_US
dc.description.abstractStarting from a set of 32 antitubercular compounds, for the first time a three-dimensional pharmacophore model has been derived through a computational approach based on catalyst software. The model proved to be able to identify compounds belonging to classes of molecules already reported as antitubercular agents.en_US
dc.language.isoenen_US
dc.relationNoneen_US
dc.relation.ispartofIL FARMACOen_US
dc.subjectAntitubercular agents; Database search; Pharmacophore modelen_US
dc.titleBuiliding a pharmacophore model for a novel class of antitubercular compounds.en_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0014-827X(00)00072-0en_US
dc.identifier.pmid11204750en_US
dc.identifier.scopus2-s2.0-0033675277en_US
dc.identifier.isiWOS:000090083100009en_US
dc.relation.volume55en_US
dc.relation.issue6-7en_US
dc.description.firstpage484en_US
dc.description.lastpage491en_US
dc.description.thirdmissionNot applicableen_US
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0002-9598-2339-
crisitem.author.orcid0000-0002-5750-4504-
crisitem.author.orcid0000-0003-0456-6995-
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