Katritzky, A. R.; Kasemets, K.; Slavov, S.; Radzvilovits, M.; Tämm, K.; Karelson, M. Estimating the toxicities of organic chemicals in activated sludge process. Water Res. 2010, 44, 2451–2460.

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Katritzky, A. R.; Kasemets, K.; Slavov, S.; Radzvilovits, M.; Tämm, K.; Karelson, M. Estimating the toxicities of organic chemicals in activated sludge process. Water Res. 2010, 44, 2451–2460.

QDB archive DOI: 10.15152/QDB.200   DOWNLOAD

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Property logEC50: Bioluminescent Shk1 aquatic toxicity as logEC50 [log(mmol/L)] i

Table.8: Final model

Regression model (regression)

Open in:QDB ExplorerQDB Predictor

NameTypen

R2

σ

Training settraining1040.7450.437

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When using this QDB archive, please cite (see details) it together with the original article:

  • Piir, G. Data for: Estimating the toxicities of organic chemicals in activated sludge process. QsarDB repository, QDB.200. 2017. http://dx.doi.org/10.15152/QDB.200

  • Katritzky, A. R.; Kasemets, K.; Slavov, S.; Radzvilovits, M.; Tämm, K.; Karelson, M. Estimating the toxicities of organic chemicals in activated sludge process. Water Res. 2010, 44, 2451–2460. http://dx.doi.org/10.1016/j.watres.2010.01.009

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dc.date.accessioned2017-05-23T11:23:07Z
dc.date.available2017-05-23T11:23:07Z
dc.date.issued2017-05-23
dc.identifier.urihttp://hdl.handle.net/10967/200
dc.identifier.urihttp://dx.doi.org/10.15152/QDB.200
dc.description.abstractThe experimental log EC(50) toxicity values of 104 compounds causing bioluminescent repression of the bacterium strain Pseudomonas isolated from an industrial wastewater were studied. Using the Best Multilinear Regression method implemented in CODESSA PRO, models with up to 8 theoretical descriptors were obtained. Utilizing a rigorous descriptor selection and validation procedure a reliable QSAR model with four parameters was selected as best. The proposed model emphasizes the importance of the halogen atoms presented in each compound, the possibility of H-bond formation and the flexibility and degree of branching of the molecules. As pointed out by many researchers, the contribution of the octanol water partition coefficient to the explanation of the toxicity effect was also found to be significant. In addition, the model currently proposed was compared to those reported earlier and its advantages were discussed in detail.
dc.publisherGeven Piir
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleKatritzky, A. R.; Kasemets, K.; Slavov, S.; Radzvilovits, M.; Tämm, K.; Karelson, M. Estimating the toxicities of organic chemicals in activated sludge process. Water Res. 2010, 44, 2451–2460.
qdb.property.endpoint3. Ecotoxic effects 3.6. Microbial inhibitionen_US
qdb.property.speciesPseudomonas fluorescensen_US
qdb.descriptor.applicationCODESSA PROen_US
qdb.prediction.applicationCODESSA PROen_US
bibtex.entryarticleen_US
bibtex.entry.authorKatritzky, A. R.
bibtex.entry.authorKasemets, K.
bibtex.entry.authorSlavov, S.
bibtex.entry.authorRadzvilovits, M.
bibtex.entry.authorTämm, K.
bibtex.entry.authorKarelson, M.
bibtex.entry.doi10.1016/j.watres.2010.01.009en_US
bibtex.entry.journalWater Res.en_US
bibtex.entry.monthApr
bibtex.entry.number8en_US
bibtex.entry.pages2451–2460en_US
bibtex.entry.titleEstimating the toxicities of organic chemicals in activated sludge processen_US
bibtex.entry.volume44en_US
bibtex.entry.year2010
qdb.model.typeRegression model (regression)en_US


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