Emerenciano, Vicente P.Cabrol-Bass, D.Ferreira, Marcelo J. P.Alvarenga, Sandra An.Brant, Antonio J. C.Scotti, Marcus T.Barbosa, Karina O.2014-05-202014-05-202006-01-01Natural Product Communications. Westerville: Natural Products Inc., v. 1, n. 6, p. 495-507, 2006.1934-578Xhttp://hdl.handle.net/11449/37464This work describes the application of partial least squares (PLS) regression to variables that represent the oxidation data of several types of secondary metabolite isolated from the family Asteraceae. The oxidation states were calculated for each carbon atom of the involved compounds after these had been matched with their biogenetic precursor. The states of oxidation variations were named oxidation steps. This methodology represents a new approach to inspect the oxidative changes in taxa. Partial least square (PLS) regression was used to inspect the relationships among terpenoids, cournarins, polyacetylenes, and flavonoids from a data base containing approximately 27,000 botanical entries. The results show an interdependence between the average oxidation states of each class of secondary metabolite at tribe and sub tribe levels.495-507engAsteraccaechemical evolutionoxidation numberoxidative stepsterpenoidsflavonoidscoumarinspolyacetylenespartial least squares regressionArtigoWOS:000249006300012Acesso restrito