A program for terpenoid skeleton prediction based on botanical information

dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Mackenzie
dc.contributorUniversidade Federal de Minas Gerais (UFMG)
dc.date.accessioned2014-05-27T11:20:35Z
dc.date.available2014-05-27T11:20:35Z
dc.date.created2014-05-27T11:20:35Z
dc.date.issued2003-01-01
dc.identifierBiochemical Systematics and Ecology, v. 31, n. 1, p. 25-43, 2003.
dc.identifier0305-1978
dc.identifierhttp://hdl.handle.net/11449/67153
dc.identifier10.1016/S0305-1978(02)00066-2
dc.identifierWOS:000180442500003
dc.identifier2-s2.0-0037235332
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.languageeng
dc.relationBiochemical Systematics and Ecology
dc.relation0.847
dc.relation0,373
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectBotanical information
dc.subjectExpert system
dc.subjectNatural products
dc.subjectSkeleton prediction
dc.subjectTerpenoids
dc.subjectstructural analysis
dc.titleA program for terpenoid skeleton prediction based on botanical information
dc.typeArtículos de revistas


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