Browsing EURL ECVAM – European Union Reference Laboratory for Alternatives to Animal Testing, Joint Research Centre (Italy) by Model type "Regression model (regression)"

Showing items 1-20 of 25

Austin, T.J.; Eadsforth, C.V. Development of a chronic fish toxicity model for predicting sub-lethal NOEC values for non-polar narcotics. SAR QSAR Environ. Res. 2014, 25, 147–160.

Published: Iiris Kahn (2015-03-31)

Abstract: To comply with the REACH (Registration, Evaluation, Authorisation and restriction of Chemicals) regulations, the generation of chronic fish toxicity data is required for chemicals produced or imported within or into the EU in quantities greater than 100 tonnes per year. This comes at a great cost to industry and consumers alike and requires the sacrifice of ...

EcoTox Regression QMRF
Bajot, F.; Cronin, M. Non polar narcosis QSAR for fathead minnow acute toxicity. Q17-33-0030. Liverpool John Moores University, 2009.

Published: Geven Piir (2020-03-12)

Abstract: All compounds are considered to act by non-polar narcosis. This is well established for non-reactive compounds. Acute lethality is brought about by accumulation in cellular membranes causing their disruption and ultimately death of the organism. The ability of the compound to accumulate in a cellular membrane is thought to be related to its intrinsic ...

EcoTox Regression QMRF
Bajot, F.; Cronin, M. Polar narcosis QSAR for fathead minnow acute toxicity. Q17-33-0032. Liverpool John Moores University, 2009.

Published: Geven Piir (2020-03-13)

Abstract: All compounds are considered to act by polar narcosis. This is well established for non-reactive compounds. Acute lethality is brought about by accumulation in cellular membranes causing their disruption and ultimately death of the organism. The ability of the compound to accumulate in a cellular membrane is thought to be related to its intrinsic hydrophobicity. ...

EcoTox Regression QMRF
Benigni, R.; Conti, L.; Crebelli, R.; Rodomonte, A.; Vari’, M. R. Simple and α,β-unsaturated aldehydes: Correct prediction of genotoxic activity through structure-activity relationship models. Environ. Mol. Mutagen. 2005, 46, 268–280.

Published: Geven Piir (2020-02-28)

Abstract: Aldehydes are widespread environmental and industrial compounds, able to stimulate a range of adverse health effects (e.g., general toxicity, allergenic reactions, mutagenicity, and carcinogenicity). We have previously presented quantitative structure–activity relationships (QSARs) for the genotoxicity of simple and α,β‐unsaturated aliphatic aldehydes. In this ...

HumanHealth Regression QMRF
Claeys, L.; Iaccino, F.; Janssen, C. R.; Van Sprang, P.; Verdonck, F. Development and validation of a quantitative structure-activity relationship for chronic narcosis to fish. Environ. Toxicol. Chem. 2013, 32, 2217–2225.

Published: Geven Piir (2020-03-06)

Abstract: Abstract Vertebrate testing under the European Union's regulation on Registration, Evaluation, Authorisation and Restriction of Chemical substances (REACH) is discouraged, and the use of alternative nontesting approaches such as quantitative structure?activity relationships (QSARs) is encouraged. However, robust QSARs predicting chronic ecotoxicity of organic ...

EcoTox Regression QMRF
Ellison, C.M.; Cronin, M.T.D.; Madden, J.C.; Schultz, T.W. Definition of the structural domain of the baseline non-polar narcosis model for Tetrahymena pyriformis. SAR QSAR Environ. Res. 2008, 19, 7-8, 751–783.

Published: Villu Ruusmann, Geven Piir (2012-05-23)

Abstract: The aim of this work was to develop a high-quality 1-octanol/water partition coefficient-dependent (log P) baseline quantitative structure-activity relationship (QSAR) for the toxicity (log IGC(50)(-1)) of classic non-polar narcotics to Tetrahymena pyriformis, and subsequently use this model to define the domain of applicability for baseline narcosis. The ...

Regression QMRF
Enoch, S.J.; Cronin, M.T.D.; Schultz, T.W.; Madden, J.C. An evaluation of global QSAR models for the prediction of the toxicity of phenols to Tetrahymena pyriformis. Chemosphere 2008, 71, 7, 1225–1232.

Published: Iiris Kahn (2014-11-30)

Abstract: This study presents an analysis of the ability of a two-parameter response surface, a multiple linear regression and a neural network model to produce global quantitative structure–activity relationships (QSARs) to predict the toxic potency of phenols to Tetrahymena pyriformis. The phenolic toxicity data set analysed is characterised by multiple mechanisms ...

Regression QMRF
Gramatica, P.; Cassani, S.; Chirico, N. QSARINS-chem: Insubria datasets and new QSAR/QSPR models for environmental pollutants in QSARINS. J. Comput. Chem. 2014, 35, 1036–1044.

Published: Geven Piir (2016-02-26)

Abstract: A database of environmentally hazardous chemicals, collected and modeled by QSAR by the Insubria group, is included in the updated version of QSARINS, software recently proposed for the development and validation of QSAR models by the genetic algorithm-ordinary least squares method. In this version, a module, named QSARINS-Chem, includes several datasets of ...

PhysChem EnvironFate EcoTox HumanHealth Regression QMRF
Gramatica, P.; Chirico, N.; Papa, E.; Cassani, S.; Kovarich, S. QSARINS: A new software for the development, analysis, and validation of QSAR MLR models. Journal of Computational Chemistry 2013, 34, 2121–2132.

Published: Iiris Kahn (2016-08-22)

Abstract: QSARINS (QSAR-INSUBRIA) is a new software for the development and validation of multiple linear regression Quantitative Structure-Activity Relationship (QSAR) models by Ordinary Least Squares method and Genetic Algorithm for variable selection. This program is mainly focused on the external validation of QSAR models. Various tools for explorative analysis of ...

Regression QMRF
Gramatica, P.; Giani, E.; Papa, E. Statistical external validation and consensus modeling: A QSPR case study for Koc prediction. J. Mol. Graph. Model. 2007, 25, 6, 755–766.

Published: Iiris Kahn (2015-01-27)

Abstract: The soil sorption partition coefficient (log Koc) of a heterogeneous set of 643 organic non-ionic compounds, with a range of more than 6 log units, is predicted by a statistically validated QSAR modeling approach. The applied multiple linear regression (ordinary least squares, OLS) is based on a variety of theoretical molecular descriptors selected by the ...

EnvironFate Regression QMRF
Gramatica, P.; Papa, E. An Update of the BCF QSAR Model Based on Theoretical Molecular Descriptors. QSAR Comb. Sci. 2005, 24, 8, 935–960.

Published: Iiris Kahn (2014-02-27)

Abstract: An inspection of an already developed QSAR model is necessary to verify the reproducibility of the model itself, and its present applicability to new chemicals, if a version of calculation software for theoretical molecular descriptors is updated. A QSAR model for bioconcentration in fish, published by the authors and based on 5 molecular descriptors of different ...

EnvironFate Regression QMRF
Gramatica, P.; Papa, E. Screening and Ranking of POPs for Global Half-Life: QSAR Approaches for Prioritization Based on Molecular Structure. Environ. Sci. Technol. 2007, 41, 8, 2833–2839.

Published: Iiris Kahn (2014-04-07)

Abstract: Persistence in the environment is an important criterion in prioritizing hazardous chemicals and in identifying new persistent organic pollutants (POPs). Degradation half-life in various compartments is among the more commonly used criteria for studying environmental persistence, but the limited availability of experimental data or reliable estimates is a ...

Regression QMRF
Papa, E.; Villa, F.; Gramatica, P. Statistically Validated QSARs, Based on Theoretical Descriptors, for Modeling Aquatic Toxicity of Organic Chemicals in Pimephales promelas (Fathead Minnow). J. Chem. Inf. Model. 2005, 45, 5, 1256–1266.

Published: Iiris Kahn (2014-04-08)

Abstract: The use of Quantitative Structure?Activity Relationships in assessing the potential negative effects of chemicals plays an important role in ecotoxicology. (LC50)96h in Pimephales promelas (Duluth database) is widely modeled as an aquatic toxicity end-point. The object of this study was to compare different molecular descriptors in the development of new ...

EcoTox Regression QMRF
Pavan, M.; Worth, A.; Netzeva, T. Preliminary analysis of an aquatic toxicity dataset and assessment of QSAR models for narcosis. EUR 21749 EN. European Commission, Joint Research Centre, 2005.

Published: Geven Piir (2020-03-10)

Abstract: The purpose of the analyses presented in this report was to contribute to an evaluation of the possibility of using QSAR predictions for regulatory purposes. To this end QSAR predictions were compared with SIDS test data. Furthermore, the models were also assessed according to the extent to which they meet OECD principles for QSAR validation (OECD ENV/JM/Mon ...

EcoTox Regression QMRF
Pérez-Garrido, A.; González, M. P.; Escudero, A. G. Halogenated derivatives QSAR model using spectral moments to predict haloacetic acids (HAA) mutagenicity. Bioorg. Med. Chem. 2008, 16, 5720–5732.

Published: Geven Piir (2020-02-18)

Abstract: The risk of the presence of haloacetic acids in drinking water as chlorination by-products and the shortage of experimental mutagenicity data for most of them requires a research work. This paper describes a QSAR model to predict direct mutagenicity for these chemicals. The model, able to describe more than 90% of the variance in the experimental activity, was ...

HumanHealth Regression QMRF
Roberts, D. W.; Aptula, A. O.; Patlewicz, G. Mechanistic Applicability Domains for Non-Animal Based Prediction of Toxicological Endpoints. QSAR Analysis of the Schiff Base Applicability Domain for Skin Sensitization. Chem. Res. Toxicol. 2006, 19, 9, 1228–1233.

Published: Iiris Kahn (2014-11-10)

Abstract: Several recent (1999 onward) publications on skin sensitization to aldehydes and ketones, which can sensitize by covalent binding to skin protein via Schiff base formation, present QSARs based on the Taft sigma* parameter to model reactivity and log P to model hydrophobicity. Here, all of the data are reanalyzed together in a stepwise self-consistent way using ...

HumanHealth Regression QMRF
Roy, P. P.; Kovarich, S.; Gramatica, P. QSAR model reproducibility and applicability: A case study of rate constants of hydroxyl radical reaction models applied to polybrominated diphenyl ethers and (benzo-)triazoles. Journal of Computational Chemistry 2011, 32, 2386–2396.

Published: Iiris Kahn (2016-09-05)

Abstract: The crucial importance of the three central OECD principles for quantitative structure-activity relationship (QSAR) model validation is highlighted in a case study of tropospheric degradation of volatile organic compounds (VOCs) by OH, applied to two CADASTER chemical classes (PBDEs and (benzo-)triazoles). The application of any QSAR model to chemicals without ...

EnvironFate Regression QMRF
Tulp, I.; Tamm, T.; Dobchev, D.; Martin, D.; Karelson, G.; Jänes, J.; Tämm, K.; Härk, E.; Savchenko, D.; Kreegipuu, A.; Karelson, M. QSAR for the soil adsorption coefficient Koc. Q13-26-0009. 2009.

Published: Geven Piir (2020-04-20)

Abstract: This QSAR model corresponds to the QMRF Q13-26-0009 "QSAR for the soil adsorption coefficient Koc" from the JRC QSAR Model Database

EnvironFate Regression QMRF
Tulp, I.; Tamm, T.; Karelson, G.; Dobchev, D.; Martin, D.; Tämm, K.; Savchenko, D.; Jänes, J.; Härk, E.; Kreegipuu, A.; Karelson, M. QSAR for abiotic degradation in air. Q13-22a-0034. Molcode Ltd., 2010.

Published: Geven Piir (2020-04-17)

Abstract: This QSAR model corresponds to the QMRF Q13-22a-0034 "QSAR for abiotic degradation in air" from the JRC QSAR Model Database

EnvironFate Regression QMRF
Tulp, I.; Tamm, T.; Karelson, G.; Dobchev, D.; Martin, D.; Tämm, K.; Savchenko, D.; Jänes, J.; Härk, E.; Kreegipuu, A.; Karelson, M. QSAR for acute oral toxicity of benzene derivatives - Acute Toxic Class Method. Q13-42-0029. Molcode Ltd., 2009.

Published: Geven Piir (2020-04-17)

Abstract: This QSAR model corresponds to the QMRF Q13-42-0029 "QSAR for acute oral toxicity of benzene derivatives - Acute Toxic Class Method" from the JRC QSAR Model Database

HumanHealth Regression QMRF

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Browsing EURL ECVAM – European Union Reference Laboratory for Alternatives to Animal Testing, Joint Research Centre (Italy) by Model type "Regression model (regression)"

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