Roncaglioni A - Search Results

1

Human-Based New Approach Methodologies in Developmental Toxicity Testing: A Step Ahead from the State of the Art with a Feto-Placental Organ-on-Chip Platform.

Luconi M, Sogorb MA, Markert UR, Benfenati E, May T, Wolbank S, Roncaglioni A, Schmidt A, Straccia M, Tait S. Luconi M, et al. Among authors: roncaglioni a. Int J Environ Res Public Health. 2022 Nov 28;19(23):15828. doi: 10.3390/ijerph192315828. Int J Environ Res Public Health. 2022. PMID: 36497907 Free PMC article. Review.

2

Global QSAR models of skin sensitisers for regulatory purposes.

Chaudhry Q, Piclin N, Cotterill J, Pintore M, Price NR, Chrétien JR, Roncaglioni A. Chaudhry Q, et al. Among authors: roncaglioni a. Chem Cent J. 2010 Jul 29;4 Suppl 1(Suppl 1):S5. doi: 10.1186/1752-153X-4-S1-S5. Chem Cent J. 2010. PMID: 20678184 Free PMC article.

3

Variable selection and interpretation in structure-affinity correlation modeling of estrogen receptor binders.

Marini F, Roncaglioni A, Novic M. Marini F, et al. Among authors: roncaglioni a. J Chem Inf Model. 2005 Nov-Dec;45(6):1507-19. doi: 10.1021/ci0501645. J Chem Inf Model. 2005. PMID: 16309247

4

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

5

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

6

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

7

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.

8

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

9

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

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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