2009
DOI: 10.1016/j.jmgm.2009.03.004
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QSAR analysis for quinoxaline-2-carboxylate 1,4-di-N-oxides as anti-mycobacterial agents

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Cited by 32 publications
(17 citation statements)
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“…3), was the most potent, decreasing parasite growth by 96% Ϯ 0.14% (P Ͻ 0.001 compared to vehicle control). Dose curves showed that the 50% inhibitory concentration (IC 50 ) of F1792-0016 is 2.1 Ϯ 1.8 nM (Fig. 5A), but there is also a reproducible plateau between 10 and 100 nM, suggesting that this compound may have multiple binding sites and/or targets with different inhibitory concentrations.…”
Section: F1792-0016 Inhibits Toxoplasma Growth In Vitromentioning
confidence: 99%
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“…3), was the most potent, decreasing parasite growth by 96% Ϯ 0.14% (P Ͻ 0.001 compared to vehicle control). Dose curves showed that the 50% inhibitory concentration (IC 50 ) of F1792-0016 is 2.1 Ϯ 1.8 nM (Fig. 5A), but there is also a reproducible plateau between 10 and 100 nM, suggesting that this compound may have multiple binding sites and/or targets with different inhibitory concentrations.…”
Section: F1792-0016 Inhibits Toxoplasma Growth In Vitromentioning
confidence: 99%
“…The monolayers were then washed 3 times in PBS and postfixed in 1% osmium tetroxide in 1% potassium ferricyanide for 1 h at 4°C. Monolayers were washed 3 times in PBS and then dehydrated in a graded ethanol series (30,50,70, and 90%). The final dehydration step was done 3 times in 100% ethanol with 15-min incubations between changes.…”
mentioning
confidence: 99%
“…Hence, the present study is aimed to establish the QSAR between experimental antiplasmodial activity and structure electronic or descriptors, which may focus on the molecular structures of the compounds. In last decades, QSAR has been applied in many areas enabling to prevent time consuming and cost during the analysis of biological activities of interest [12]. The main hypothesis involved in any QSAR is the assumption that the variation of the behaviour of chemical compounds, as expressed by any experimentally measured biological property, can be correlated with numerical entities related to some aspect of the chemical structure termed molecular descriptors [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…In last decades, QSAR has been applied in many areas enabling to prevent time consuming and cost during the analysis of biological activities of interest [12]. The main hypothesis involved in any QSAR is the assumption that the variation of the behaviour of chemical compounds, as expressed by any experimentally measured biological property, can be correlated with numerical entities related to some aspect of the chemical structure termed molecular descriptors [12,13]. The descriptors are generally used to describe different characteristics of the chemical structure in order to yield information about the activity being studied.…”
Section: Introductionmentioning
confidence: 99%
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