A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity$-Reference-Cited by-同舟云学术

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A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity$

Published:2018-07-27 Issue:8 Volume:29 Page:591-611
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Benfenati E.¹,Golbamaki A.¹,Raitano G.¹,Roncaglioni A.¹,Manganelli S.¹²,Lemke F.³,Norinder U.⁴⁵,Lo Piparo Elena²,Honma M.⁶,Manganaro A.⁷,Gini G.⁸

Affiliation:

1. IRCCS –Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy

2. Chemical Food Safety Group, Nestlé Research Center, Lausanne, Switzerland

3. KnowledgeMiner, Berlin, Germany

4. Swetox, Södertälje, Sweden

5. Dept of Computer and Systems Sciences, Stockholm University, Kista, Sweden

6. National Institute of Health Sciences, Japan

7. KODE, Pisa, Italy

8. Politecnico di Milano, Milano, Italy

Funder

EU LIFE VERMEER project

UBA, Germany

Swedish Research Council FORMAS

Knut and Alice Wallenberg Foundation

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2018.1497702

Reference43 articles.

1. W. Piegorsch and E. Zeiger, Measuring intra-assay agreement for the Ames Salmonella assay, in Statistical Methods in Toxicology, Lecture Notes in Medical Informatics, L. Hothorn, ed. Springer, Berlin Heidelberg, 1991, pp. 35–41.

2. The acceptance of in silicomodels for REACH: Requirements, barriers, and perspectives

3. Structure alerts for carcinogenicity, and the Salmonella assay system: A novel insight through the chemical relational databases technology

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