2013
DOI: 10.1016/j.foodres.2012.09.027
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In silico metabolism studies of dietary flavonoids by CYP1A2 and CYP2C9

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Cited by 27 publications
(12 citation statements)
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“…Chaichit et al (2014) investigated the binding of chrysin to CYP2C9; they also identified F114, L208, and A297 as key interacting amino acids. A previous in silico study of flavonoid-CYP2C9 interactions (Sousa et al, 2013) suggests the importance of N474 and S209; we have the same findings regarding C7S (Fig. 3C).…”
Section: Discussionsupporting
confidence: 89%
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“…Chaichit et al (2014) investigated the binding of chrysin to CYP2C9; they also identified F114, L208, and A297 as key interacting amino acids. A previous in silico study of flavonoid-CYP2C9 interactions (Sousa et al, 2013) suggests the importance of N474 and S209; we have the same findings regarding C7S (Fig. 3C).…”
Section: Discussionsupporting
confidence: 89%
“…3C). The binding free energies of naringenin (25.98 kcal/mol) and quercetin (26.77 kcal/mol) with CYP2C9 (Sousa et al, 2013) showed good correlation with our data. Furthermore, previous in silico studies with bavachin also suggest that the binding position of flavonoids is close to the heme iron in both CYP2C9 and 2C19 (Wang et al, 2018), as is demonstrated with chrysin in Figure 3, A and D. Investigation of corylifol A showed the importance of amino acid residues L208, A297, and T301 in the interaction with CYP2C9 enzyme, and the involvement of F100, F114, N204, L237, G296, L366, and F476 has been reported with CYP2C19 (Wang et al, 2018), showing good correlations with our observations.…”
Section: Discussionsupporting
confidence: 84%
“…3). Previous studies have shown that CYP1A2 is a major contributor in the hydroxylation of flavonoids [16]. The affinity for CYP1A2-mediated oxidative pathways appeared lower (K m : 648.5 µM) than that of jaceosidin (a flavone catalyzed by CYP1A2) (K m : 95.9-101 µM) (l " Fig.…”
Section: Intmentioning
confidence: 92%
“…A previsão é feita a partir das reações de fase 1 (oxidação e redução) e 2 (conjugação). Isto é possível através de buscas em data sets que contêm transformações metabólicas já reportadas na literatura científica e que acontecem em posições semelhantes às contidas nas moléculas estudadas com posterior análise estatística dos dados encontrados (TARCSAY et al, 2010;ADAMS, 2010;CARLSSON et al, 2010;BRAGA et al, 2012;PIECHOTA et al, 2013;SOUSA et al, 2013). O candidato a fármaco também foi submetido ao software Metaprint2D-React, disponível em http://www-metaprint2d.ch.cam.ac.uk/metaprint2d-react.…”
Section: Predição Do Metabolismo Utilizando O Software Metaprint2d-reactunclassified