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Natalja Fjodorova

Showing results (11-20 of 17) with videos related to

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Chemistry Central Journal|August 4, 2010
New public QSAR model for carcinogenicityNatalja Fjodorova, Marjan Vracko, Marjana Novic, et al.
Ecotoxicology and Environmental Safety|October 4, 2019
Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniquesNatalia Sizochenko, Michael Syzochenko, Natalja Fjodorova, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|March 7, 2008
Regulatory assessment of chemicals within OECD member countries, EU and in RussiaNatalja Fjodorova, Marjana Novich, Marjan Vrachko, et al.
Molecular Diversity|August 18, 2009
Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory usesNatalja Fjodorova, Marjan Vračko, Marjan Tušar, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|June 24, 2008
Directions in QSAR modeling for regulatory uses in OECD member countries, EU and in RussiaNatalja Fjodorova, Marjana Novich, Marjan Vrachko, et al.
International Journal of Molecular Sciences|September 28, 2023
Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene DerivativesNatalja Fjodorova, Marjana Novič, Katja Venko, et al.
Computational and Structural Biotechnology Journal|March 4, 2022
How fullerene derivatives (FDs) act on therapeutically important targets associated with diabetic diseasesNatalja Fjodorova, Marjana Novič, Katja Venko, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Chemistry Central Journal|August 4, 2010
New public QSAR model for carcinogenicityNatalja Fjodorova, Marjan Vracko, Marjana Novic, et al.
Ecotoxicology and Environmental Safety|October 4, 2019
Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniquesNatalia Sizochenko, Michael Syzochenko, Natalja Fjodorova, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|March 7, 2008
Regulatory assessment of chemicals within OECD member countries, EU and in RussiaNatalja Fjodorova, Marjana Novich, Marjan Vrachko, et al.
Molecular Diversity|August 18, 2009
Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory usesNatalja Fjodorova, Marjan Vračko, Marjan Tušar, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|June 24, 2008
Directions in QSAR modeling for regulatory uses in OECD member countries, EU and in RussiaNatalja Fjodorova, Marjana Novich, Marjan Vrachko, et al.
International Journal of Molecular Sciences|September 28, 2023
Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene DerivativesNatalja Fjodorova, Marjana Novič, Katja Venko, et al.
Computational and Structural Biotechnology Journal|March 4, 2022
How fullerene derivatives (FDs) act on therapeutically important targets associated with diabetic diseasesNatalja Fjodorova, Marjana Novič, Katja Venko, et al.
Pageof 2