Molecular physicochemical parameters predicting antioxidant activity of Brazilian natural products

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Automatic identification of terpenoid skeletons by feed-forward neural networks

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.

Modelagem molecular aplicada ao desenvolvimento de moléculas com atividade antioxidante visando ao uso cosmético

Some hypotheses and constants studies are made with intention to elucidate the aging process. To prevent and to attenuate the cutaneous aging it becomes necessary to strengthen our endogenous antioxidant natural defenses. Diverse exogenous antioxidant substances, as vitamins, vegetal extracts and others, have been used by the Cosmetology in antiaging products. The objective of this paper is to show how the Molecular Modeling can be an useful tool in the research for new antioxidant cosmetic substances to face the cutaneous aging.

Marco Túlio Cícero: concepções do discurso religioso no final da República romana

Pós-graduação em História - FCLAS