2008
DOI: 10.1016/j.jmgm.2007.09.002
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Modeling calcium channel antagonistic activity of dihydropyridine derivatives using QTMS indices analyzed by GA-PLS and PC-GA-PLS

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Cited by 50 publications
(33 citation statements)
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“…Furthermore, the results of compounds show that addition of phenyl group in position 4 in this type of dihydropyridines significantly reduces the activity in asymmetrical compounds since compounds 16 and 17 are more than 50 times weaker than their corresponding derivatives (18 and 19) which lack the phenyl group. This finding is consistent with previous investigation demonstrating the significant role of C4 aryl in the calcium channel antagonist activity of DHPs (Edraki et al, 2009;Mohajeri et al, 2008). In fact, it is supposed that the conformation of C4 aryl is very deterministic in differentiating between agonist and antagonist activity of DHP.…”
Section: Pharmacologysupporting
confidence: 93%
See 1 more Smart Citation
“…Furthermore, the results of compounds show that addition of phenyl group in position 4 in this type of dihydropyridines significantly reduces the activity in asymmetrical compounds since compounds 16 and 17 are more than 50 times weaker than their corresponding derivatives (18 and 19) which lack the phenyl group. This finding is consistent with previous investigation demonstrating the significant role of C4 aryl in the calcium channel antagonist activity of DHPs (Edraki et al, 2009;Mohajeri et al, 2008). In fact, it is supposed that the conformation of C4 aryl is very deterministic in differentiating between agonist and antagonist activity of DHP.…”
Section: Pharmacologysupporting
confidence: 93%
“…Also, it was shown that C4 aryl is probably one of three parts of DHP in interaction with target (Ca channel) (Mohajeri et al, 2008). In this case, as presence of additional phenyl group resulted in considerable reduction in calcium channel antagonist activity, it can be hypothesized that such an addition may produce a steric hindrance which makes the interaction with channel more difficult.…”
Section: Pharmacologymentioning
confidence: 96%
“…Those collinear descriptors (r>0.9) were removed and 367 descriptors were still retained, which was still a problem to select the most relevant descriptors. Two variable selection approaches, simulated annealing-based partial least 28) and genetic algorithms based partial least squares (GA-PLS) 28,29) came to the rescue. PLS2 served to correlate both sets of anti-inflammatory activity data simultaneously with the structural descriptors, which is an extension to PLS1, allowing the modeling and/or prediction of multiple responses.…”
Section: Resultsmentioning
confidence: 99%
“…The GA used here was demonstrated in other literature (Mohajeri et al, 2008) Therefore, only the important points about this study are described here. Where the number of independent variables is more than molecules, subset selection is necessary for avoiding chance correlation.…”
Section: Training and Test Setsmentioning
confidence: 99%