-
1
-
-
84912096145
-
Development of computational models for the risk assessment of cosmetic ingredients
-
Anzali S., Berthold M.R., Fioravanzo E., Neagu D., Pery A.R.R., Worth A.P., Yang C., Cronin M.T.D., Riharz A.-N. Development of computational models for the risk assessment of cosmetic ingredients. IFSCC Mag. 2012, 4:249-255.
-
(2012)
IFSCC Mag.
, vol.4
, pp. 249-255
-
-
Anzali, S.1
Berthold, M.R.2
Fioravanzo, E.3
Neagu, D.4
Pery, A.R.R.5
Worth, A.P.6
Yang, C.7
Cronin, M.T.D.8
Riharz, A.-N.9
-
2
-
-
0842280719
-
The utility of Structure-Activity Relationship (SAR) models for prediction and covariate selection in developmental toxicity: comparative analysis of logistic regression and decision tree models
-
Arena V.C., Sussman N.B., Mazumdar S., Yu S., Macina O.T. The utility of Structure-Activity Relationship (SAR) models for prediction and covariate selection in developmental toxicity: comparative analysis of logistic regression and decision tree models. SAR & QSAR Environ. Res. 2004, 15:1-18.
-
(2004)
SAR & QSAR Environ. Res.
, vol.15
, pp. 1-18
-
-
Arena, V.C.1
Sussman, N.B.2
Mazumdar, S.3
Yu, S.4
Macina, O.T.5
-
3
-
-
77956829814
-
The CAESAR project for in silico models for the REACH legislation
-
Benfenati E. The CAESAR project for in silico models for the REACH legislation. Chem. Cent. J. 2010, 4(Suppl. 1):I1.
-
(2010)
Chem. Cent. J.
, vol.4
, pp. I1
-
-
Benfenati, E.1
-
4
-
-
66149126079
-
Predictive models for carcinogenicity and mutagenicity: frameworks, state-of-the-art, and perspectives
-
Benfenati E., Benigni R., DeMarini D.M. Predictive models for carcinogenicity and mutagenicity: frameworks, state-of-the-art, and perspectives. J. Environ. Sci. Health Part C 2009, 27:57-90.
-
(2009)
J. Environ. Sci. Health Part C
, vol.27
, pp. 57-90
-
-
Benfenati, E.1
Benigni, R.2
DeMarini, D.M.3
-
5
-
-
84875773601
-
Prediction of mutagenicity, carcinogenicity, developmental toxicity, and skin sensitization with CAESAR program for a set of conazoles
-
Bolcic-Tavcar M., Vracko M. Prediction of mutagenicity, carcinogenicity, developmental toxicity, and skin sensitization with CAESAR program for a set of conazoles. Arch. Ind. Hygiene Toxicol. 2012, 63:283-292.
-
(2012)
Arch. Ind. Hygiene Toxicol.
, vol.63
, pp. 283-292
-
-
Bolcic-Tavcar, M.1
Vracko, M.2
-
6
-
-
84908319163
-
-
CAESAR project. <>. http://www.caesar.-project.eu.
-
CAESAR project
-
-
-
7
-
-
77955379604
-
CAESAR models for developmental toxicity
-
Cassano A., Manganaro A., Martin T., Young D., Piclin N., Pintore M., Bigoni D., Benfenati E. CAESAR models for developmental toxicity. Chem. Cent. J. 2010, 4(Suppl. 1):S4.
-
(2010)
Chem. Cent. J.
, vol.4
, pp. S4
-
-
Cassano, A.1
Manganaro, A.2
Martin, T.3
Young, D.4
Piclin, N.5
Pintore, M.6
Bigoni, D.7
Benfenati, E.8
-
8
-
-
77955342898
-
Global QSAR models for skin sensitisers for regulatory purposes
-
Chaudhry Q., Piclin N., Cotterill J., Pintore M., Price N.R., Cretien J.R., Roncaglioni A. Global QSAR models for skin sensitisers for regulatory purposes. Chem. Cent. J. 2010, 4(Suppl. 1):S5.
-
(2010)
Chem. Cent. J.
, vol.4
, pp. S5
-
-
Chaudhry, Q.1
Piclin, N.2
Cotterill, J.3
Pintore, M.4
Price, N.R.5
Cretien, J.R.6
Roncaglioni, A.7
-
9
-
-
77955381397
-
An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts
-
Ferrari T., Gini G. An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts. Chem. Cent. J. 2010, 4(Suppl. 1):S2.
-
(2010)
Chem. Cent. J.
, vol.4
, pp. S2
-
-
Ferrari, T.1
Gini, G.2
-
10
-
-
77955393756
-
New public QSAR model for carcinogenicity
-
Fjodorova N., Vračko M., Novič M., Roncaglioni A., Benfenati E. New public QSAR model for carcinogenicity. Chem. Cent. J. 2010, 4(Suppl. 1):S3.
-
(2010)
Chem. Cent. J.
, vol.4
, pp. S3
-
-
Fjodorova, N.1
Vračko, M.2
Novič, M.3
Roncaglioni, A.4
Benfenati, E.5
-
11
-
-
30144443263
-
Compilation of historical local node data for evaluation of skin sensitization alternative methods
-
Gerberick G.F., Ryan C.A., Kern P.S., Schaltter H., Dearman R.J., Kimber I., Patlewicz G.Y., Basketter D.A. Compilation of historical local node data for evaluation of skin sensitization alternative methods. Dermatitis 2005, 16:157-202.
-
(2005)
Dermatitis
, vol.16
, pp. 157-202
-
-
Gerberick, G.F.1
Ryan, C.A.2
Kern, P.S.3
Schaltter, H.4
Dearman, R.J.5
Kimber, I.6
Patlewicz, G.Y.7
Basketter, D.A.8
-
12
-
-
35148898451
-
Guidance document on the validation of (Q)SAR models
-
Series on Testing and Assessment.
-
Guidance document on the validation of (Q)SAR models. Paris, France: OECD. Health and Safety Publications. Series on Testing and Assessment, 2007, p. 69.
-
(2007)
Paris, France: OECD. Health and Safety Publications
, pp. 69
-
-
-
13
-
-
77954184492
-
Guidance on information requirements and chemical safety assessment
-
Guidance on information requirements and chemical safety assessment, European Chemicals Agency, 2008.
-
(2008)
European Chemicals Agency
-
-
-
14
-
-
8544273677
-
Counter-propagation artificial neural network as a tool for the independent variable selection: structure-mutagenicity study on aromatic amines
-
Jezierska A., Vračko M., Basak S.C. Counter-propagation artificial neural network as a tool for the independent variable selection: structure-mutagenicity study on aromatic amines. Mol. Diversity 2004, 8:371-377.
-
(2004)
Mol. Diversity
, vol.8
, pp. 371-377
-
-
Jezierska, A.1
Vračko, M.2
Basak, S.C.3
-
15
-
-
12144257810
-
Derivation and validation of toxicophores for mutagenicity prediction
-
Kazius J., Mcguire R., Bursi R. Derivation and validation of toxicophores for mutagenicity prediction. J. Med. Chem. 2005, 48:312-320.
-
(2005)
J. Med. Chem.
, vol.48
, pp. 312-320
-
-
Kazius, J.1
Mcguire, R.2
Bursi, R.3
-
17
-
-
77955435614
-
Assessment and validation of the CAEASAR predictive model for bioconcentration factor (BCF) in fish
-
Lombardo A., Roncaglioni A., Boriani E., Milan C., Benfenati E. Assessment and validation of the CAEASAR predictive model for bioconcentration factor (BCF) in fish. Chem. Cent. J. 2010, 4(Suppl. 1):S1.
-
(2010)
Chem. Cent. J.
, vol.4
, pp. S1
-
-
Lombardo, A.1
Roncaglioni, A.2
Boriani, E.3
Milan, C.4
Benfenati, E.5
-
18
-
-
84877125015
-
A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH
-
Nendza M., Gabbert S., Kuhne R., Lombardo A., Roncaglioni A., Benfenati E., Benigni R., Bossa C., Strempel S., Scheringer M., Fernandez A., Rallo R., Giralt F., Dimitrov S., Mekenyan O., Bringezu F., Schuurmann G. A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH. Regul. Toxicol. Pharmacol. 2013, 66:301-314.
-
(2013)
Regul. Toxicol. Pharmacol.
, vol.66
, pp. 301-314
-
-
Nendza, M.1
Gabbert, S.2
Kuhne, R.3
Lombardo, A.4
Roncaglioni, A.5
Benfenati, E.6
Benigni, R.7
Bossa, C.8
Strempel, S.9
Scheringer, M.10
Fernandez, A.11
Rallo, R.12
Giralt, F.13
Dimitrov, S.14
Mekenyan, O.15
Bringezu, F.16
Schuurmann, G.17
-
20
-
-
49749142824
-
-
REACH legislation. <>. http://www.reachlegislation.com/.
-
REACH legislation
-
-
-
21
-
-
33645242166
-
Kohonen artificial neural network and counter propagation neural network in molecular structure-activity studies
-
Vračko M. Kohonen artificial neural network and counter propagation neural network in molecular structure-activity studies. Curr. Comput.-Aided Drug Des. 2005, 1:73-78.
-
(2005)
Curr. Comput.-Aided Drug Des.
, vol.1
, pp. 73-78
-
-
Vračko, M.1
-
22
-
-
84893784189
-
Performance evaluation of CAESAR-QSAR output using PAHs as a case study
-
Vračko M., Bobst S. Performance evaluation of CAESAR-QSAR output using PAHs as a case study. J. Chemom. 2014, 28:100-107.
-
(2014)
J. Chemom.
, vol.28
, pp. 100-107
-
-
Vračko, M.1
Bobst, S.2
-
23
-
-
33745808006
-
Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study
-
Vračko M., Bandelj V., Barbieri P., Benfenati E., Chaudhry Q., Cronin M.T.D., Devillers J., Gallegos A., Gini G., Gramatica P., Helma C., Mazzatorta P., Neagu D., Netzeva T., Pavan M., Patlewicz G., Randic M., Tsakovska I., Worth A.P. Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study. SAR QSAR Environ. Res. 2006, 17:265-284.
-
(2006)
SAR QSAR Environ. Res.
, vol.17
, pp. 265-284
-
-
Vračko, M.1
Bandelj, V.2
Barbieri, P.3
Benfenati, E.4
Chaudhry, Q.5
Cronin, M.T.D.6
Devillers, J.7
Gallegos, A.8
Gini, G.9
Gramatica, P.10
Helma, C.11
Mazzatorta, P.12
Neagu, D.13
Netzeva, T.14
Pavan, M.15
Patlewicz, G.16
Randic, M.17
Tsakovska, I.18
Worth, A.P.19
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