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Big Data Analytics in Chemoinformatics and Bioinformatics ,
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Big data and deep learning: extracting and revising chemica..:
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Challenges and Advances in Computational Chemistry and Physics; Current Trends in Computational Modeling for Drug Discovery ,
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Computational Toxicological Aspects in Drug Design and Disc..:
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Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development ,
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Toward models for bioaccumulation suitable for the pharmace..:
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Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development ,
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Contributors:
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QSAR in Safety Evaluation and Risk Assessment ,
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Modeling safety and risk assessment with VEGAHUB:
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Challenges and Advances in Computational Chemistry and Physics; Advances in Computational Toxicology ,
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Integrating QSAR, Read-Across, and Screening Tools: The VEG..:
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Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment; Advances in Chemical and Materials Engineering ,
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QSPR/QSAR Analyses by Means of the CORAL Software: Results,..:
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Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes ,
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Validation of the models:
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Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes ,
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Results of DEMETRA models:
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Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes ,
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Forewords:
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Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes ,
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The quality criteria of the DEMETRA models for regulatory p..:
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Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes ,
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The use of the DEMETRA models:
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