2014
DOI: 10.1016/j.toxlet.2014.04.007
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An exploration of the estrogen receptor transcription activity of capsaicin analogues via an integrated approach based on in silico prediction and in vitro assays

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Cited by 8 publications
(7 citation statements)
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“…Finally, only molecular connectivity indices (MCIs) and solvation connectivity indices of the tested compounds were included. The effect of the structural characteristics on cell proliferation was explored by a simplified QSAR model established using the logistic modeling method. , The relationship between the biological activity data and molecular structure descriptors was obtained by the stepwise linear regression method with a confidence interval of 95%. Considering that the test set used in the present study was too small to be divided into two parts for the robustness testing of the QSAR model, full sets of data were adopted for the regression analysis with no compulsory estimation of the degree of freedom .…”
Section: Methodsmentioning
confidence: 99%
“…Finally, only molecular connectivity indices (MCIs) and solvation connectivity indices of the tested compounds were included. The effect of the structural characteristics on cell proliferation was explored by a simplified QSAR model established using the logistic modeling method. , The relationship between the biological activity data and molecular structure descriptors was obtained by the stepwise linear regression method with a confidence interval of 95%. Considering that the test set used in the present study was too small to be divided into two parts for the robustness testing of the QSAR model, full sets of data were adopted for the regression analysis with no compulsory estimation of the degree of freedom .…”
Section: Methodsmentioning
confidence: 99%
“…The details of the process of QSAR development and statistical significance verification can be found in our previous studies (see the Supporting Information). , …”
Section: Methodsmentioning
confidence: 99%
“…According to the 21st century toxic testing report, in vitro assays combined with in silico models are highly recommended for toxicity exploration of environmental pollutants . In particular, molecular docking, quantitative structure–activity relationship (QSAR) prediction models, and well-designed in vitro experiments have been successfully applied to determine and predict the molecular structural properties that mainly contribute to the interaction between compounds and nuclear receptor proteins. In the present study, to determine the estrogenic-like and/or antiestrogenic effects of 13 OPEs (including three metabolites) with different substituent groups, including phenyl rings, halogenated alkyl chains, and alkyl chains, we performed a comprehensive study by combining three in vitro methods that are specific to human breast tissue: E-screen assay, MVLN assay, and detection of estrogen-responsive genes in MCF-7 cells. Furthermore, a QSAR model was developed to identify and describe the structural features that contribute to the ability of the 13 analytes to interact with hERα.…”
Section: Introductionmentioning
confidence: 99%
“…Several of the treatments (OHT and OHT + BNF) significantly reduced both Vtg gene and protein expression in a similar manner, illustrating the close coherence between the gene and protein responses of this estrogenic biomarker . The wellcharacterised anti-estrogen OHT competitively bind to the ER and act as a partial ERantagonist (Macgregor and Jordan, 1998;Li et al, 2014) and agonist (Wu et al, 2005) in different in vivo and in vitro assays from mammals and in fish. The present study concluded that OHT alone did not significantly induce any of the ER-target genes (er-α, zrp, vtg-1) ( Supplementary Fig.…”
Section: Er Signallingmentioning
confidence: 99%