Benfenati E - Search Results

1

QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors.

Toma C, Manganaro A, Raitano G, Marzo M, Gadaleta D, Baderna D, Roncaglioni A, Kramer N, Benfenati E. Toma C, et al. Among authors: benfenati e. Molecules. 2020 Dec 29;26(1):127. doi: 10.3390/molecules26010127. Molecules. 2020. PMID: 33383938 Free PMC article.

2

Factors influencing predictive models for toxicology.

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

4

Classification of potential endocrine disrupters on the basis of molecular structure using a nonlinear modeling method.

Roncaglioni A, Novic M, Vracko M, Benfenati E. Roncaglioni A, et al. Among authors: benfenati e. J Chem Inf Comput Sci. 2004 Mar-Apr;44(2):300-9. doi: 10.1021/ci030421a. J Chem Inf Comput Sci. 2004. PMID: 15032504

5

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

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

6

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: benfenati e. J Med Chem. 2005 Dec 1;48(24):7628-36. doi: 10.1021/jm050604j. J Med Chem. 2005. PMID: 16302803

7

QSAR models for Daphnia toxicity of pesticides based on combinations of topological parameters of molecular structures.

Toropov AA, Benfenati E. Toropov AA, et al. Among authors: benfenati e. Bioorg Med Chem. 2006 Apr 15;14(8):2779-88. doi: 10.1016/j.bmc.2005.11.060. Epub 2005 Dec 27. Bioorg Med Chem. 2006. PMID: 16377200

8

The specificity of the QSAR models for regulatory purposes: the example of the DEMETRA project.

Benfenati E. Benfenati E. SAR QSAR Environ Res. 2007 May-Jun;18(3-4):209-20. doi: 10.1080/10629360701303727. SAR QSAR Environ Res. 2007. PMID: 17514566

9

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

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

10

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: benfenati e. Environ Sci Technol. 2008 Jan 15;42(2):491-6. doi: 10.1021/es071430t. Environ Sci Technol. 2008. PMID: 18284152

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