Roncaglioni A - Search Results

1

EFSA's OpenFoodTox: An open source toxicological database on chemicals in food and feed and its future developments.

Dorne JLCM, Richardson J, Livaniou A, Carnesecchi E, Ceriani L, Baldin R, Kovarich S, Pavan M, Saouter E, Biganzoli F, Pasinato L, Zare Jeddi M, Robinson TP, Kass GEN, Liem AKD, Toropov AA, Toropova AP, Yang C, Tarkhov A, Georgiadis N, Di Nicola MR, Mostrag A, Verhagen H, Roncaglioni A, Benfenati E, Bassan A. Dorne JLCM, et al. Among authors: roncaglioni a. Environ Int. 2021 Jan;146:106293. doi: 10.1016/j.envint.2020.106293. Epub 2020 Dec 8. Environ Int. 2021. PMID: 33395940 Free article. Review.

2

Factors influencing predictive models for toxicology.

Benfenati E, Piclin N, Roncaglioni A, Varì MR. Benfenati E, et al. Among authors: roncaglioni a. SAR QSAR Environ Res. 2001;12(6):593-603. doi: 10.1080/10629360108039836. SAR QSAR Environ Res. 2001. PMID: 11813807

3

Predicting logP of pesticides using different software.

Benfenati E, Gini G, Piclin N, Roncaglioni A, Varì MR. Benfenati E, et al. Among authors: roncaglioni a. Chemosphere. 2003 Dec;53(9):1155-64. doi: 10.1016/S0045-6535(03)00609-X. Chemosphere. 2003. PMID: 14512120

4

A protocol to select high quality datasets of ecotoxicity values for pesticides.

Roncaglioni A, Benfenati E, Boriani E, Clook M. Roncaglioni A, et al. J Environ Sci Health B. 2004 May;39(4):641-52. doi: 10.1081/pfc-200026890. J Environ Sci Health B. 2004. PMID: 15473643

5

Identification of the structural requirements of the receptor-binding affinity of diphenolic azoles to estrogen receptors alpha and beta by three-dimensional quantitative structure-activity relationship and structure-activity relationship analysis.

Demyttenaere-Kovatcheva A, Cronin MT, Benfenati E, Roncaglioni A, Lopiparo E. Demyttenaere-Kovatcheva A, et al. Among authors: roncaglioni a. J Med Chem. 2005 Dec 1;48(24):7628-36. doi: 10.1021/jm050604j. J Med Chem. 2005. PMID: 16302803

6

In silico-aided prediction of biological properties of chemicals: oestrogen receptor-mediated effects.

Roncaglioni A, Benfenati E. Roncaglioni A, et al. Chem Soc Rev. 2008 Mar;37(3):441-50. doi: 10.1039/b616276m. Epub 2007 Oct 8. Chem Soc Rev. 2008. PMID: 18224255 Review.

7

Regulatory perspectives in the use and validation of QSAR. A case study: DEMETRA model for Daphnia toxicity.

Porcelli C, Boriani E, Roncaglioni A, Chana A, Benfenati E. Porcelli C, et al. Among authors: roncaglioni a. Environ Sci Technol. 2008 Jan 15;42(2):491-6. doi: 10.1021/es071430t. Environ Sci Technol. 2008. PMID: 18284152

8

A comparison of DEMETRA individual QSARs with an index for evaluation of uncertainty.

Porcelli C, Roncaglioni A, Chana A, Benfenati E. Porcelli C, et al. Among authors: roncaglioni a. Chemosphere. 2008 May;71(10):1845-52. doi: 10.1016/j.chemosphere.2008.02.038. Epub 2008 Apr 1. Chemosphere. 2008. PMID: 18384837

9

A new hybrid system of QSAR models for predicting bioconcentration factors (BCF).

Zhao C, Boriani E, Chana A, Roncaglioni A, Benfenati E. Zhao C, et al. Among authors: roncaglioni a. Chemosphere. 2008 Dec;73(11):1701-7. doi: 10.1016/j.chemosphere.2008.09.033. Epub 2008 Oct 26. Chemosphere. 2008. PMID: 18954891

10

Binary classification models for endocrine disrupter effects mediated through the estrogen receptor.

Roncaglioni A, Piclin N, Pintore M, Benfenati E. Roncaglioni A, et al. SAR QSAR Environ Res. 2008;19(7-8):697-733. doi: 10.1080/10629360802550606. SAR QSAR Environ Res. 2008. PMID: 19061085

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