Ecotoxicological QSARs

<p>Ecotoxicological Risk Assessment in the Context of Different EU Regulations.-&nbsp;A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology.- Best Practices for Constructing Reproducible QSAR Models.- Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment.- Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Data Sets.- Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling.- Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology.- On the Relevance of Feature Selection Algorithms While Developing Non-Linear QSARs.- Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticles Ecotoxicity.- Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies for Carbon Nanostructures.- Early Prediction of Ecotoxicological Side-Effects of Pharmaceutical Impurities Based on Open-Source Non-Testing Approaches.- Conformal Prediction for Ecotoxicology and Implications for Regulatory Decision Making.- Read-Across for Regulatory Ecotoxicology.- Methodological Protocol for Assessing the Environmental Footprint by Means of Ecotoxicological Tools: Wastewater Treatment Plants as an Example Case.- Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species.- Ecotoxicological&nbsp;QSARs of Personal Care Products and Biocides.- Computational Approaches to Evaluate Ecotoxicity of Biocides: Cases from the Project COMBASE.- QSAR Modeling of Dye Ecotoxicity.- Ecotoxicological&nbsp;QSARs&nbsp;of&nbsp;Mixtures.- QSPR Modeling of Adsorption of Pollutants by Carbon Nanotubes (CNTs).- Ecotoxicological QSAR Modeling of Organophosphorus and Neonicotinoid Pesticides.- QSARs and Read-Across for Thiochemicals: A Case Study of UsingAlternative Information for REACH Registrations.- In Silico Ecotoxicological Modeling of Pesticide Metabolites and Mixtures.- Combination of Read-Across and QSAR for Ecotoxicity Prediction: A Case Study of Green Algae Growth Inhibition Toxicity Data.- QSAR Approaches and Ecotoxicological Risk Assessment.- Multi-Scale QSAR Approach for Simultaneous Modeling of Ecotoxic Effects of Pesticides.- Quantitative Structure-Toxicity Relationship Models Based on Hydrophobicity and Electrophilicity.- Environmental Toxicity (Q)SARs for Polymers as an Emerging Class of Materials in Regulatory Frameworks, with a Focus on Challenges and Possibilities Regarding Cationic Polymers.- Ecotoxicity Databases for QSAR Modeling.- VEGAHUB for Ecotoxicological QSAR Modeling.- Enalos Cloud Platform: Nanoinformatics and Cheminformatics Tools.- alvaDesc: A Tool to Calculate and Analyze Molecular Descriptors and Fingerprints.</p>