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Alessandra Roncaglioni

Showing results (1-10 of 94) with videos related to

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Chemical Society Reviews|January 29, 2008
In silico-aided prediction of biological properties of chemicals: oestrogen receptor-mediated effectsAlessandra Roncaglioni, Emilio Benfenati
Journal of Chemical Information and Modeling|November 29, 2005
Variable selection and interpretation in structure-affinity correlation modeling of estrogen receptor bindersFederico Marini, Alessandra Roncaglioni, Marjana Novic
Journal of Chemical Information and Modeling|June 2, 2026
Beyond Molecular Structures: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction ModelsMateusz Iwan, Alessandra Roncaglioni, Francesca Grisoni
Methods in Molecular Biology (Clifton, N.J.)|February 21, 2022
In Silico Methods for Carcinogenicity AssessmentAzadi Golbamaki, Emilio Benfenati, Alessandra Roncaglioni
Alternatives to Laboratory Animals : ATLA|April 6, 2022
The VEGAHUB Platform: The Philosophy and the ToolsAlessandra Roncaglioni, Anna Lombardo, Emilio Benfenati
Toxics|January 26, 2024
Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway FrameworksEdoardo Luca Viganò, Davide Ballabio, Alessandra Roncaglioni
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|November 24, 2011
Comparison and possible use of in silico tools for carcinogenicity within REACH legislationChiara Milan, Onofrio Schifanella, Alessandra Roncaglioni, et al.
Mutagenesis|February 5, 2019
In silico model for mutagenicity (Ames test), taking into account metabolismMatteo Vian, Giuseppa Raitano, Alessandra Roncaglioni, et al.
Journal of Computer-Aided Molecular Design|December 6, 2011
Evaluating the applicability domain in the case of classification predictive models for carcinogenicity based on the counter propagation artificial neural networkNatalja Fjodorova, Marjana Novič, Alessandra Roncaglioni, et al.
Journal of Environmental Science and Health. Part. B, Pesticides, Food Contaminants, and Agricultural Wastes|October 12, 2004
A protocol to select high quality datasets of ecotoxicity values for pesticidesAlessandra Roncaglioni, Emilio Benfenati, Elena Boriani, et al.
Pageof 10

Showing results (1-10 of 94) with videos related to

Sort By:
Pageof 10
Chemical Society Reviews|January 29, 2008
In silico-aided prediction of biological properties of chemicals: oestrogen receptor-mediated effectsAlessandra Roncaglioni, Emilio Benfenati
Journal of Chemical Information and Modeling|November 29, 2005
Variable selection and interpretation in structure-affinity correlation modeling of estrogen receptor bindersFederico Marini, Alessandra Roncaglioni, Marjana Novic
Journal of Chemical Information and Modeling|June 2, 2026
Beyond Molecular Structures: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction ModelsMateusz Iwan, Alessandra Roncaglioni, Francesca Grisoni
Methods in Molecular Biology (Clifton, N.J.)|February 21, 2022
In Silico Methods for Carcinogenicity AssessmentAzadi Golbamaki, Emilio Benfenati, Alessandra Roncaglioni
Alternatives to Laboratory Animals : ATLA|April 6, 2022
The VEGAHUB Platform: The Philosophy and the ToolsAlessandra Roncaglioni, Anna Lombardo, Emilio Benfenati
Toxics|January 26, 2024
Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway FrameworksEdoardo Luca Viganò, Davide Ballabio, Alessandra Roncaglioni
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|November 24, 2011
Comparison and possible use of in silico tools for carcinogenicity within REACH legislationChiara Milan, Onofrio Schifanella, Alessandra Roncaglioni, et al.
Mutagenesis|February 5, 2019
In silico model for mutagenicity (Ames test), taking into account metabolismMatteo Vian, Giuseppa Raitano, Alessandra Roncaglioni, et al.
Journal of Computer-Aided Molecular Design|December 6, 2011
Evaluating the applicability domain in the case of classification predictive models for carcinogenicity based on the counter propagation artificial neural networkNatalja Fjodorova, Marjana Novič, Alessandra Roncaglioni, et al.
Journal of Environmental Science and Health. Part. B, Pesticides, Food Contaminants, and Agricultural Wastes|October 12, 2004
A protocol to select high quality datasets of ecotoxicity values for pesticidesAlessandra Roncaglioni, Emilio Benfenati, Elena Boriani, et al.
Pageof 10