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Journal of Xenobiotics
|
June 25, 2025
Monte Carlo Simulation of Pesticide Toxicity for Rainbow Trout (<i>Oncorhynchus mykiss</i>) Using New Criteria of Predictive Potential
Alla P Toropova, Andrey A Toropov, Emilio Benfenati
Journal of Chemical Information and Computer Sciences
|
November 24, 2004
Combining unsupervised and supervised artificial neural networks to predictaquatic toxicity
Giuseppina Gini, Marian Viorel Craciun, Christoph König, et al.
Journal of Xenobiotics
|
June 25, 2025
QSAR Models for Predicting the Antioxidant Potential of Chemical Substances
Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
September 23, 2024
Weight of Evidence: Criteria and Applications
Erika Colombo, Giuseppa Raitano, Edoardo Luca Viganò, et al.
Environment International
|
August 5, 2019
Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy
Emilio Benfenati, Qasim Chaudhry, Giuseppina Gini, et al.
Journal of Medicinal Chemistry
|
September 15, 2006
Virtual screening for aryl hydrocarbon receptor binding prediction
Elena Lo Piparo, Konrad Koehler, Antonio Chana, et al.
Environmental Science and Pollution Research International
|
August 27, 2020
First report on chemometric modeling of hydrolysis half-lives of organic chemicals
Pathan Mohsin Khan, Anna Lombardo, Emilio Benfenati, et al.
Journal of Chemical Information and Modeling
|
November 29, 2005
QSAR model for predicting pesticide aquatic toxicity
Paolo Mazzatorta, Martin Smiesko, Elena Lo Piparo, et al.
Chemical Biology & Drug Design
|
December 6, 2011
QSAR models for toxicity of organic substances to Daphnia magna built up by using the CORAL freeware
Alla P Toropova, Andrey A Toropov, Emilio Benfenati, et al.
Chemical Biology & Drug Design
|
March 1, 2011
Simplified molecular input-line entry system and International Chemical Identifier in the QSAR analysis of styrylquinoline derivatives as HIV-1 integrase inhibitors
Alla P Toropova, Andrey A Toropov, Emilio Benfenati, et al.
Page
of 34
Search research articles
Search
Showing results (71-80 of 333) with videos related to
Sort By:
Page
of 34
Journal of Xenobiotics
|
June 25, 2025
Monte Carlo Simulation of Pesticide Toxicity for Rainbow Trout (<i>Oncorhynchus mykiss</i>) Using New Criteria of Predictive Potential
Alla P Toropova, Andrey A Toropov, Emilio Benfenati
Journal of Chemical Information and Computer Sciences
|
November 24, 2004
Combining unsupervised and supervised artificial neural networks to predictaquatic toxicity
Giuseppina Gini, Marian Viorel Craciun, Christoph König, et al.
Journal of Xenobiotics
|
June 25, 2025
QSAR Models for Predicting the Antioxidant Potential of Chemical Substances
Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
September 23, 2024
Weight of Evidence: Criteria and Applications
Erika Colombo, Giuseppa Raitano, Edoardo Luca Viganò, et al.
Environment International
|
August 5, 2019
Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy
Emilio Benfenati, Qasim Chaudhry, Giuseppina Gini, et al.
Journal of Medicinal Chemistry
|
September 15, 2006
Virtual screening for aryl hydrocarbon receptor binding prediction
Elena Lo Piparo, Konrad Koehler, Antonio Chana, et al.
Environmental Science and Pollution Research International
|
August 27, 2020
First report on chemometric modeling of hydrolysis half-lives of organic chemicals
Pathan Mohsin Khan, Anna Lombardo, Emilio Benfenati, et al.
Journal of Chemical Information and Modeling
|
November 29, 2005
QSAR model for predicting pesticide aquatic toxicity
Paolo Mazzatorta, Martin Smiesko, Elena Lo Piparo, et al.
Chemical Biology & Drug Design
|
December 6, 2011
QSAR models for toxicity of organic substances to Daphnia magna built up by using the CORAL freeware
Alla P Toropova, Andrey A Toropov, Emilio Benfenati, et al.
Chemical Biology & Drug Design
|
March 1, 2011
Simplified molecular input-line entry system and International Chemical Identifier in the QSAR analysis of styrylquinoline derivatives as HIV-1 integrase inhibitors
Alla P Toropova, Andrey A Toropov, Emilio Benfenati, et al.
Page
of 34