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231224s2012 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.22953
|2 doi
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|a pubmed24n0719.xml
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|a eng
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|a Toropova, A P
|e verfasserin
|4 aut
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|a CORAL
|b QSAR models for acute toxicity in fathead minnow (Pimephales promelas)
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|c 2012
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 22.06.2015
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|a Date Revised 03.11.2014
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2012 Wiley Periodicals, Inc.
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|a CORrelation And Logic (CORAL) is a software that generates quantitative structure activity relationships (QSAR) for different endpoints. This study is dedicated to the QSAR analysis of acute toxicity in Fathead minnow (Pimephales promelas). Statistical quality for the external test set is a complex function of the split (into training and test subsets), the number of epochs of the Monte Carlo optimization, and the threshold that is a criterion for dividing the correlation weights into two classes rare (blocked) and not rare (active). Computational experiments with three random splits (data on 568 compounds) indicated that this approach can satisfactorily predict the desired endpoint (the negative decimal logarithm of the 50% lethal concentration, in mmol/L, pLC50). The average correlation coefficients (r2) are 0.675 ± 0.0053, 0.824 ± 0.0242, 0.787 ± 0.0101 for subtraining, calibration, and test set, respectively. The average standard errors of estimation (s) are 0.837 ± 0.021, 0.555 ± 0.047, 0.606 ± 0.049 for subtraining, calibration, and test set, respectively. The CORAL software together with three random splits into subtraining, calibration, and test sets can be downloaded on the Internet (http://www.insilico.eu/coral/)
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|a Journal Article
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|a CORAL software
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|a QSAR
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|a acute toxicity
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|a fathead minnow
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|a optimal descriptor
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|a Organic Chemicals
|2 NLM
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|a Toropov, A A
|e verfasserin
|4 aut
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|a Lombardo, A
|e verfasserin
|4 aut
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|a Roncaglioni, A
|e verfasserin
|4 aut
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|a Benfenati, E
|e verfasserin
|4 aut
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|a Gini, G
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 33(2012), 12 vom: 05. Mai, Seite 1218-23
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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|g volume:33
|g year:2012
|g number:12
|g day:05
|g month:05
|g pages:1218-23
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|u http://dx.doi.org/10.1002/jcc.22953
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