2001
DOI: 10.1021/jm001113w
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Synthesis and Structure−Activity Relationships of Cetiedil Analogues as Blockers of the Ca2+-Activated K+Permeability of Erythrocytes

Abstract: Cetiedil, [2-cyclohexyl-2-(3-thienyl)ethanoic acid 2-(hexahydro-1H-azepin-1-yl)ethyl ester], which blocks the intermediate calcium-activated potassium ion permeability (IK(Ca)) in red blood cells, was used as a lead for investigating structure-activity relationships with the aim of determining the pharmacophore and of synthesizing agents of greater potency. A series of compounds having structures related to cetiedil was made and tested on rabbit erythrocytes. Channel blocking activity within the series was fou… Show more

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Cited by 11 publications
(23 citation statements)
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“…(3)). The authors noted that potency tightly correlated with lipophilicity and that the SAR in general was very flat [228]. An increase in logP over 4 orders of magnitude only increased potency by 2 orders.…”
Section: Small Molecule Kca31 Channel Blockersmentioning
confidence: 99%
“…(3)). The authors noted that potency tightly correlated with lipophilicity and that the SAR in general was very flat [228]. An increase in logP over 4 orders of magnitude only increased potency by 2 orders.…”
Section: Small Molecule Kca31 Channel Blockersmentioning
confidence: 99%
“…From chemical modification of cetiedil several more potent KCa3.1 channel blockers were obtained. The investigation of one of these compounds, the UCL 1608, suggests that they interact with a lipophilic-binding site located within the membrane [48]. Also the chemical modification of the poorly selective CTL has led to the production of several more effective KCa3.1 channel blockers, including the triarylmethanes TRAM-34 [49] and ICA-17043 [50].…”
Section: General Properties Of the Kca31 Channelmentioning
confidence: 99%
“…In some previous QSAR reports, ion channel inhibitory activity had been successfully modeled by means of ANN approach [7,23,24]. Calcium channel antagonist activity of a large set of 1,4 dihydropyridines was modeled using a hybrid principal components (PC)-Neural Network approach, in which, among other methods, they used also a GA routine for selecting the best subset of components for network training [23].…”
Section: Model's Interpretationmentioning
confidence: 99%
“…These include quinine and quinidine, some carbocyanine dyes, charybdotoxin, dequalinium and some of its derivatives, nifedipine, nitrendipine, cetiedil and clotrimazole and some related compounds [7].…”
Section: Introductionmentioning
confidence: 99%