T
Tatiana I. Netzeva
Researcher at Liverpool John Moores University
Publications - 39
Citations - 2498
Tatiana I. Netzeva is an academic researcher from Liverpool John Moores University. The author has contributed to research in topics: Quantitative structure–activity relationship & Tetrahymena pyriformis. The author has an hindex of 24, co-authored 39 publications receiving 2317 citations. Previous affiliations of Tatiana I. Netzeva include Mario Negri Institute for Pharmacological Research & Sofia Medical University.
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Journal ArticleDOI
Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52.
Tatiana I. Netzeva,Andrew Worth,Tom Aldenberg,Romualdo Benigni,Mark T. D. Cronin,Paola Gramatica,Joanna Jaworska,Scott Kahn,Gilles Klopman,Carol A. Marchant,Glenn J. Myatt,Nina Nikolova-Jeliazkova,Grace Patlewicz,Roger Perkins,David W. Roberts,Terry W Schultz,David T. Stanton,Johannes J.M. van de Sandt,Weida Tong,Gilman Veith,Chihae Yang +20 more
TL;DR: This is the 52nd report of a series of workshops organised by the European Centre for the Validation of Alternative Methods (ECVAM) to provide a source of input to the development of an OECD Guidance Document on (Q)SAR Validation.
The Benigni / Bossa rulebase for mutagenicity and carcinogenicity - a module of Toxtree
TL;DR: This report gives an introduction to currently available QSARs and SAs for carcinogenicity and mutagenicity, and provides details of the Benigni/Bossa rulebase.
Journal ArticleDOI
Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformis.
Mark T. D. Cronin,Aynur O. Aptula,Judith C. Duffy,Tatiana I. Netzeva,Philip H. Rowe,Iva Valkova,T. Wayne Schultz +6 more
TL;DR: Quantitative structure-activity relationships (QSAR) for the toxicity of 200 phenols to the ciliated protozoan Tetrahymena pyriformis, and the validation of the QSARs using a test set of a further 50 compounds, are reported.
Journal ArticleDOI
Multivariate Discrimination between Modes of Toxic Action of Phenols
Aynur O. Aptula,Tatiana I. Netzeva,Iva Valkova,Mark T. D. Cronin,Terry W Schultz,Ralph Kühne,Gerrit Schüürmann +6 more
TL;DR: A set of 221 phenols, for which toxicity data to the ciliate Tetrahymena pyriformis were available, was subjected to stepwise linear discriminant analysis (LDA) in order to classify their toxic mechanisms of action as discussed by the authors.
Journal ArticleDOI
Review of (Quantitative) Structure–Activity Relationships for Acute Aquatic Toxicity
TL;DR: The QSAR models for mammalian toxicity identified in this review are considered useful for investigating the mechanisms of toxicity of defined chemical classes, however, for predictive purposes in the regulatory assessment of chemicals most of the models require additional information to satisfy internationally agreed validation principles.