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Alberto Manganaro

Showing results (1-10 of 27) with videos related to

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Frontiers in Pharmacology|December 7, 2016
A New Structure-Activity Relationship (SAR) Model for Predicting Drug-Induced Liver Injury, Based on Statistical and Expert-Based Structural AlertsFabiola Pizzo, Anna Lombardo, Alberto Manganaro, et al.
The Science of the Total Environment|May 20, 2022
Development of new QSAR models for water, sediment, and soil half-lifeAnna Lombardo, Alberto Manganaro, Jürgen Arning, et al.
The Science of the Total Environment|June 26, 2013
In silico models for predicting ready biodegradability under REACH: a comparative studyFabiola Pizzo, Anna Lombardo, Alberto Manganaro, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|September 26, 2015
Hierarchical Rules for Read-Across and In Silico Models of MutagenicityEmilio Benfenati, Serena Manganelli, Sabrina Giordano, et al.
Chemosphere|October 31, 2015
Predicting persistence in the sediment compartment with a new automatic software based on the k-Nearest Neighbor (k-NN) algorithmAlberto Manganaro, Fabiola Pizzo, Anna Lombardo, et al.
Toxicology|September 21, 2016
A knowledge-based expert rule system for predicting mutagenicity (Ames test) of aromatic amines and azo compoundsDomenico Gadaleta, Serena Manganelli, Alberto Manganaro, et al.
Journal of Computational Chemistry|April 18, 2009
QSPR modeling of enthalpies of formation for organometallic compounds by SMART-based optimal descriptorsAndrey A Toropov, Alla P Toropova, Emilio Benfenati, et al.
Environment International|January 17, 2016
A new integrated in silico strategy for the assessment and prioritization of persistence of chemicals under REACHFabiola Pizzo, Anna Lombardo, Marc Brandt, et al.
ALTEX|September 19, 2017
Integrated strategy for mutagenicity prediction applied to food contact chemicalsSerena Manganelli, Benoît Schilter, Emilio Benfenati, et al.
Chemosphere|May 31, 2014
A new in silico classification model for ready biodegradability, based on molecular fragmentsAnna Lombardo, Fabiola Pizzo, Emilio Benfenati, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Frontiers in Pharmacology|December 7, 2016
A New Structure-Activity Relationship (SAR) Model for Predicting Drug-Induced Liver Injury, Based on Statistical and Expert-Based Structural AlertsFabiola Pizzo, Anna Lombardo, Alberto Manganaro, et al.
The Science of the Total Environment|May 20, 2022
Development of new QSAR models for water, sediment, and soil half-lifeAnna Lombardo, Alberto Manganaro, Jürgen Arning, et al.
The Science of the Total Environment|June 26, 2013
In silico models for predicting ready biodegradability under REACH: a comparative studyFabiola Pizzo, Anna Lombardo, Alberto Manganaro, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|September 26, 2015
Hierarchical Rules for Read-Across and In Silico Models of MutagenicityEmilio Benfenati, Serena Manganelli, Sabrina Giordano, et al.
Chemosphere|October 31, 2015
Predicting persistence in the sediment compartment with a new automatic software based on the k-Nearest Neighbor (k-NN) algorithmAlberto Manganaro, Fabiola Pizzo, Anna Lombardo, et al.
Toxicology|September 21, 2016
A knowledge-based expert rule system for predicting mutagenicity (Ames test) of aromatic amines and azo compoundsDomenico Gadaleta, Serena Manganelli, Alberto Manganaro, et al.
Journal of Computational Chemistry|April 18, 2009
QSPR modeling of enthalpies of formation for organometallic compounds by SMART-based optimal descriptorsAndrey A Toropov, Alla P Toropova, Emilio Benfenati, et al.
Environment International|January 17, 2016
A new integrated in silico strategy for the assessment and prioritization of persistence of chemicals under REACHFabiola Pizzo, Anna Lombardo, Marc Brandt, et al.
ALTEX|September 19, 2017
Integrated strategy for mutagenicity prediction applied to food contact chemicalsSerena Manganelli, Benoît Schilter, Emilio Benfenati, et al.
Chemosphere|May 31, 2014
A new in silico classification model for ready biodegradability, based on molecular fragmentsAnna Lombardo, Fabiola Pizzo, Emilio Benfenati, et al.
Pageof 3