Hasil Pencarian - Alessandra Roncaglioni

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  1. 1
    Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks

    Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks oleh Edoardo Luca Viganò, Davide Ballabio, Alessandra Roncaglioni

    Diterbitkan 2024-01-01
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  2. 2
    Quantitative Structure–Activity Relationship Models for the Angiotensin-Converting Enzyme Inhibitory Activities of Short-Chain Peptides of Goat Milk Using Quasi-SMILES

    Quantitative Structure–Activity Relationship Models for the Angiotensin-Converting Enzyme Inhibitory Activities of Short-Chain Peptides of Goat Milk Using Quasi-SMILES oleh Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati

    Diterbitkan 2024-06-01
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  3. 3
    Semi-Correlations for Building Up a Simulation of Eye Irritation

    Semi-Correlations for Building Up a Simulation of Eye Irritation oleh Andrey A. Toropov, Alla P. Toropova, Alessandra Roncaglioni, Emilio Benfenati

    Diterbitkan 2023-12-01
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  4. 4
    Using the Correlation Intensity Index to Build a Model of Cardiotoxicity of Piperidine Derivatives

    Using the Correlation Intensity Index to Build a Model of Cardiotoxicity of Piperidine Derivatives oleh Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati

    Diterbitkan 2023-09-01
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  5. 5
    The System of Self-Consistent Models: QSAR Analysis of Drug-Induced Liver Toxicity

    The System of Self-Consistent Models: QSAR Analysis of Drug-Induced Liver Toxicity oleh Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati

    Diterbitkan 2023-04-01
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  6. 6
    Quantitative Structure-Activity Relationship Modeling of the Amplex Ultrared Assay to Predict Thyroperoxidase Inhibitory Activity

    Quantitative Structure-Activity Relationship Modeling of the Amplex Ultrared Assay to Predict Thyroperoxidase Inhibitory Activity oleh Domenico Gadaleta, Luca d’Alessandro, Marco Marzo, Emilio Benfenati, Alessandra Roncaglioni

    Diterbitkan 2021-08-01
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  7. 7
    Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) Neurotoxicity

    Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) Neurotoxicity oleh Domenico Gadaleta, Nicoleta Spînu, Alessandra Roncaglioni, Mark T. D. Cronin, Emilio Benfenati

    Diterbitkan 2022-03-01
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  8. 8
    A KNIME Workflow to Assist the Analogue Identification for Read-Across, Applied to Aromatase Activity

    A KNIME Workflow to Assist the Analogue Identification for Read-Across, Applied to Aromatase Activity oleh Ana Yisel Caballero Alfonso, Chayawan Chayawan, Domenico Gadaleta, Alessandra Roncaglioni, Emilio Benfenati

    Diterbitkan 2023-02-01
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  9. 9
    Models for the No-Observed-Effect Concentration (NOEC) and Maximal Half-Effective Concentration (EC50)

    Models for the No-Observed-Effect Concentration (NOEC) and Maximal Half-Effective Concentration (EC50) oleh Nadia Iovine, Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati

    Diterbitkan 2024-06-01
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  10. 10
    Prediction of Endocrine-Disrupting Chemicals Related to Estrogen, Androgen, and Thyroid Hormone (EAT) Modalities Using Transcriptomics Data and Machine Learning

    Prediction of Endocrine-Disrupting Chemicals Related to Estrogen, Androgen, and Thyroid Hormone (EAT) Modalities Using Transcriptomics Data and Machine Learning oleh Guillaume Ollitrault, Marco Marzo, Alessandra Roncaglioni, Emilio Benfenati, Enrico Mombelli, Olivier Taboureau

    Diterbitkan 2024-07-01
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  11. 11
    The System of Self-Consistent Models: The Case of Henry’s Law Constants

    The System of Self-Consistent Models: The Case of Henry’s Law Constants oleh Andrey A. Toropov, Alla P. Toropova, Alessandra Roncaglioni, Emilio Benfenati, Danuta Leszczynska, Jerzy Leszczynski

    Diterbitkan 2023-10-01
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  12. 12
    QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors

    QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors oleh Cosimo Toma, Alberto Manganaro, Giuseppa Raitano, Marco Marzo, Domenico Gadaleta, Diego Baderna, Alessandra Roncaglioni, Nynke Kramer, Emilio Benfenati

    Diterbitkan 2020-12-01
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  13. 13
    CORAL Models for Drug-Induced Nephrotoxicity

    CORAL Models for Drug-Induced Nephrotoxicity oleh Andrey A. Toropov, Devon A. Barnes, Alla P. Toropova, Alessandra Roncaglioni, Alasdair R. Irvine, Rosalinde Masereeuw, Emilio Benfenati

    Diterbitkan 2023-03-01
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  14. 14
    SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data

    SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data oleh Domenico Gadaleta, Kristijan Vuković, Cosimo Toma, Giovanna J. Lavado, Agnes L. Karmaus, Kamel Mansouri, Nicole C. Kleinstreuer, Emilio Benfenati, Alessandra Roncaglioni

    Diterbitkan 2019-08-01
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  15. 15
    Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques

    Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques oleh Pietro Delre, Pietro Delre, Giovanna J. Lavado, Giuseppe Lamanna, Giuseppe Lamanna, Michele Saviano, Alessandra Roncaglioni, Emilio Benfenati, Giuseppe Felice Mangiatordi, Domenico Gadaleta

    Diterbitkan 2022-09-01
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  16. 16
    The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models

    The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models oleh Alberto Danieli, Erika Colombo, Giuseppa Raitano, Anna Lombardo, Alessandra Roncaglioni, Alberto Manganaro, Alessio Sommovigo, Edoardo Carnesecchi, Jean-Lou C. M. Dorne, Emilio Benfenati

    Diterbitkan 2023-06-01
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