Mombelli, E.; Pery, A. R. R. A Linear Model to Predict Chronic Effects of Chemicals on Daphnia magna. Bull. Environ. Contam. Toxicol. 2011, 87, 494–498.

QDB archive DOI: 10.15152/QDB.167 DOWNLOAD

QsarDB content

Regression model (regression)

Name	Type	n	R2	σ
Training set	training	151	0.893	0.332
Validation set	external validation	62	0.823	0.415

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

Kahn, I. Data for: A Linear Model to Predict Chronic Effects of Chemicals on Daphnia magna. QsarDB repository, QDB.167. 2015. https://doi.org/10.15152/QDB.167
Mombelli, E.; Pery, A. R. R. A Linear Model to Predict Chronic Effects of Chemicals on Daphnia magna. Bull. Environ. Contam. Toxicol. 2011, 87, 494–498. https://doi.org/10.1007/s00128-011-0393-x

Title:	Mombelli, E.; Pery, A. R. R. A Linear Model to Predict Chronic Effects of Chemicals on Daphnia magna. Bull. Environ. Contam. Toxicol. 2011, 87, 494–498.
Abstract:	Chronic toxicity data for Daphnia magna are information requirements in the context of regulations on chemical safety. This paper proposes a linear model for the prediction of chemically-induced effects on the reproductive output of D. magna. This model is based on data retrieved from the Japanese Ministry of Environment database and it predicts chronic effects as a function of acute toxicity data. The proposed model proved to be able to predict chronic toxicities for chemicals not used in the training set. Our results suggest that experiments involving chronic exposure to chemicals could be reduced thanks to the proposed model.
URI:	http://hdl.handle.net/10967/167 http://dx.doi.org/10.15152/QDB.167
Date:	2015-09-02

Name	Description	Format	Size	View
2011BECT494.qdb.zip	QAAR for chronic toxicity to Daphnia	application/zip	20.84Kb	View/Open

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Miscellaneous publications (by other authors)
University of Tartu (Estonia), Institute of Chemistry, Molecular Technology