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Alberto Manganaro

Showing results (11-20 of 27) with videos related to

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Molecules (Basel, Switzerland)|November 27, 2021
New Models to Predict the Acute and Chronic Toxicities of Representative Species of the Main Trophic Levels of Aquatic EnvironmentsCosimo Toma, Claudia I Cappelli, Alberto Manganaro, et al.
Journal of Cheminformatics|November 11, 2014
A generalizable definition of chemical similarity for read-acrossMatteo Floris, Alberto Manganaro, Orazio Nicolotti, et al.
Chemical Biology & Drug Design|March 26, 2011
coral Software: QSAR for Anticancer AgentsEmilio Benfenati, Andrey A Toropov, Alla P Toropova, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|July 15, 2016
New Quantitative Structure-Activity Relationship Models Improve Predictability of Ames Mutagenicity for Aromatic Azo CompoundsSerena Manganelli, Emilio Benfenati, Alberto Manganaro, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|March 18, 2016
New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compoundsAzadi Golbamaki, Emilio Benfenati, Nazanin Golbamaki, et al.
Chemosphere|December 26, 2018
Development, validation and integration of in silico models to identify androgen active chemicalsSerena Manganelli, Alessandra Roncaglioni, Kamel Mansouri, et al.
ALTEX|January 23, 2013
Using toxicological evidence from QSAR models in practiceEmilio Benfenati, Simon Pardoe, Todd Martin, et al.
Chemosphere|May 7, 2024
The VERA software: Implementation of the acute fish toxicity endpoint and its application to pharmaceutical compoundsErika Colombo, Edoardo Luca Viganò, Giuseppa Raitano, et al.
Chemistry Central Journal|August 4, 2010
CAESAR models for developmental toxicityAntonio Cassano, Alberto Manganaro, Todd Martin, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|October 14, 2017
Integrating computational methods to predict mutagenicity of aromatic azo compoundsDomenico Gadaleta, Nicola Porta, Eleni Vrontaki, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Molecules (Basel, Switzerland)|November 27, 2021
New Models to Predict the Acute and Chronic Toxicities of Representative Species of the Main Trophic Levels of Aquatic EnvironmentsCosimo Toma, Claudia I Cappelli, Alberto Manganaro, et al.
Journal of Cheminformatics|November 11, 2014
A generalizable definition of chemical similarity for read-acrossMatteo Floris, Alberto Manganaro, Orazio Nicolotti, et al.
Chemical Biology & Drug Design|March 26, 2011
coral Software: QSAR for Anticancer AgentsEmilio Benfenati, Andrey A Toropov, Alla P Toropova, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|July 15, 2016
New Quantitative Structure-Activity Relationship Models Improve Predictability of Ames Mutagenicity for Aromatic Azo CompoundsSerena Manganelli, Emilio Benfenati, Alberto Manganaro, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|March 18, 2016
New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compoundsAzadi Golbamaki, Emilio Benfenati, Nazanin Golbamaki, et al.
Chemosphere|December 26, 2018
Development, validation and integration of in silico models to identify androgen active chemicalsSerena Manganelli, Alessandra Roncaglioni, Kamel Mansouri, et al.
ALTEX|January 23, 2013
Using toxicological evidence from QSAR models in practiceEmilio Benfenati, Simon Pardoe, Todd Martin, et al.
Chemosphere|May 7, 2024
The VERA software: Implementation of the acute fish toxicity endpoint and its application to pharmaceutical compoundsErika Colombo, Edoardo Luca Viganò, Giuseppa Raitano, et al.
Chemistry Central Journal|August 4, 2010
CAESAR models for developmental toxicityAntonio Cassano, Alberto Manganaro, Todd Martin, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|October 14, 2017
Integrating computational methods to predict mutagenicity of aromatic azo compoundsDomenico Gadaleta, Nicola Porta, Eleni Vrontaki, et al.
Pageof 3