A program for terpenoid skeleton prediction based on botanical information

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dc.contributor.authorFerreira M.J.P.
dc.contributor.authorAlvarenga S.A.V.
dc.contributor.authorMacari P.A.T.
dc.contributor.authorRodrigues G.V.
dc.contributor.authorEmerenciano V.P.
dc.date.accessioned2024-03-13T01:46:17Z
dc.date.available2024-03-13T01:46:17Z
dc.date.issued2003
dc.description.abstractThis paper describes a new program developed to the SISTEMAT expert system, the SISOCBOT program. This program employs the botanical data analysis and predicts, at the end of analysis, the probable skeleton of a compound based on the input of family or genus names. The SISOCBOT program was tested with 78 samples involving 302 substances, pertaining to 38 carbon skeletons, and showed a high hit index on skeleton prediction, thus emphasizing the potential importance of these data for structural determination of natural products. © 2002 Elsevier Science Ltd. All rights reserved.
dc.description.firstpage25
dc.description.issuenumber1
dc.description.lastpage43
dc.description.volume31
dc.identifier.doi10.1016/S0305-1978(02)00066-2
dc.identifier.issn0305-1978
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37999
dc.relation.ispartofBiochemical Systematics and Ecology
dc.rightsAcesso Restrito
dc.subject.otherlanguageBotanical information
dc.subject.otherlanguageExpert system
dc.subject.otherlanguageNatural products
dc.subject.otherlanguageSkeleton prediction
dc.subject.otherlanguageTerpenoids
dc.titleA program for terpenoid skeleton prediction based on botanical information
dc.typeArtigo
local.scopus.citations8
local.scopus.eid2-s2.0-0037235332
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0037235332&origin=inward
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