Multivariate QSAR study on the antimutagenic activity of flavonoids against 3-NFA on Salmonella typhimurium TA98

Autor(es)

de Melo, Eduardo Borges ^[1] ; Ataide Martins, Joao Paulo ^[2] ; Marinho Jorge, Teresa Cristina ^[1] ; Friozi, Marcelo Couto ^[1] ; Castro Ferreira, Marcia Miguel ^[2]

Afiliação do(s) autor(es)

^[1] Univ Estadual Oeste Parana, Curso Farm, Ctr Ciencias Med & Farmaceut, Cascavel, PR - Brazil

^[2] Univ Campinas Unicamp, Inst Chem, Lab Theoret & Appl Chemometr, BR-13084971 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY; v. 45, n. 10, p. 4562-4569, OCT 2010.
• Citações Web of Science: 17

Resumo

A quantitative structure activity relationship (QSAR) study of twenty flavonoid derivatives with antimutagenic activity against 3-nitrofluoranthene (3-NFA) was performed by Partial Least Squares (PLS), using Ordered Predictors Selection (OPS) algorithm for variable selection. Four descriptors (PJI2, Mor27m, G1e and R4u divided by) were selected and a good model (n = 19; R(2) = 0.747; SEC = 0.332, PRESS(cal) = 1.768, F((2.27)) = 23.585; Q(LOO)(2) = 0.590; SEV = 0.388; PRESS(val) = 2 858; R(pred)(2) = 0.591; SEP = 0.394; ARE(pred) = 5.230%, k = 1.005; k' = 0.990; vertical bar R(0)(2) -R(0)'(2)vertical bar = 0 109) was built with two latent variables describing 83 410% of the original information. Leave-N-out cross validation (LNO) and y-randomization were performed in order to confirm the robustness of the model The topological descriptors selected indicate that the antimutagenic activity against 3-NFA depends on molecular size, shape and Sanderson electronegativity of flavonoids. The proposed model may provide a better understanding of the antimutagenic activity of flavonoids and can be used as a guidance for proposition of new chemopreventive agents. (C) 2010 Elsevier Masson SAS All rights reserved. (AU)

• Processo FAPESP: 04/04686-5 - Abordagens quimiométricas clássicas e novas em estudos teóricos de substâncias bioativas
• Beneficiário: Marcia Miguel Castro Ferreira
• Modalidade de apoio: Auxílio à Pesquisa - Temático