Publicação: Automatic identification of terpenoid skeletons by feed-forward neural networks
dc.contributor.author | Emerenciano, Vicente P. | |
dc.contributor.author | Alvarenga, Sandra A. V. | |
dc.contributor.author | Scotti, Marcus Tullius | |
dc.contributor.author | Ferreira, Marcelo J. P. | |
dc.contributor.author | Stefani, Ricardo | |
dc.contributor.author | Nuzillard, Jean-Marc | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Univ Reims | |
dc.date.accessioned | 2014-05-20T15:21:06Z | |
dc.date.available | 2014-05-20T15:21:06Z | |
dc.date.issued | 2006-10-10 | |
dc.description.abstract | Feed-forward neural networks (FFNNs) were used to predict the skeletal type of molecules belonging to six classes of terpenoids. A database that contains the (13)C NMR spectra of about 5000 compounds was used to train the FFNNs. An efficient representation of the spectra was designed and the constitution of the best FFNN input vector format resorted from an heuristic approach. The latter was derived from general considerations on terpenoid structures. (c) 2006 Elsevier B.V. All rights reserved. | en |
dc.description.affiliation | Univ São Paulo, Inst Quim, BR-05513970 São Paulo, Brazil | |
dc.description.affiliation | Univ Estadual Paulista, Fac Engn Guaratingueta, BR-12516410 São Paulo, Brazil | |
dc.description.affiliation | USP, FFCLRP, Dept Quim, BR-14040905 Ribeirao Preto, SP, Brazil | |
dc.description.affiliation | Univ Reims, FRE 2715, F-51687 Reims 2, France | |
dc.description.affiliationUnesp | Univ Estadual Paulista, Fac Engn Guaratingueta, BR-12516410 São Paulo, Brazil | |
dc.format.extent | 217-226 | |
dc.identifier | http://dx.doi.org/10.1016/j.aca.2006.07.023 | |
dc.identifier.citation | Analytica Chimica Acta. Amsterdam: Elsevier B.V., v. 579, n. 2, p. 217-226, 2006. | |
dc.identifier.doi | 10.1016/j.aca.2006.07.023 | |
dc.identifier.issn | 0003-2670 | |
dc.identifier.uri | http://hdl.handle.net/11449/32282 | |
dc.identifier.wos | WOS:000241473700010 | |
dc.language.iso | eng | |
dc.publisher | Elsevier B.V. | |
dc.relation.ispartof | Analytica Chimica Acta | |
dc.relation.ispartofjcr | 5.123 | |
dc.relation.ispartofsjr | 1,512 | |
dc.rights.accessRights | Acesso restrito | pt |
dc.source | Web of Science | |
dc.subject | artificial neural networks | pt |
dc.subject | (13)C NMR | pt |
dc.subject | spectroscopy | pt |
dc.subject | terpenoids | pt |
dc.subject | steroids | pt |
dc.title | Automatic identification of terpenoid skeletons by feed-forward neural networks | en |
dc.type | Artigo | pt |
dcterms.license | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
dcterms.rightsHolder | Elsevier B.V. | |
dspace.entity.type | Publication | |
unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Engenharia e Ciências, Guaratinguetá | pt |
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