Chapter 1 Ecotoxicological Risk Assessment in the Context of Different EU Regulations

Chapter 2 A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology

Chapter 3 Best Practices for Constructing Reproducible QSAR Models

Chapter 4 Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment

Chapter 5 Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Datasets

Chapter 6 Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling

Chapter 7 Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology

Chapter 8 On the Relevance of Feature Selection Algorithms While Developing Non-linear QSARs

Chapter 9 Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticle Ecotoxicity

Chapter 10 Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies for Carbon Nanostructures

Chapter 11 Early Prediction of Ecotoxicological Side Effects of Pharmaceutical Impurities Based on Open-Source Non-testing Approaches

Chapter 12 Conformal Prediction for Ecotoxicology and Implications for Regulatory Decision-Making

Chapter 13 Read-Across for Regulatory Ecotoxicology

Chapter 14 Methodological Protocol for Assessing the Environmental Footprint by Means of Ecotoxicological Tools: Wastewater Treatment Plants as an Example Case

Chapter 15 Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species

Chapter 16 Ecotoxicological QSARs of Personal Care Products and Biocides

Chapter 17 Computational Approaches to Evaluate Ecotoxicity of Biocides: Cases from the Project COMBASE

Chapter 18 QSAR Modeling of Dye Ecotoxicity

Chapter 19 Ecotoxicological QSARs of Mixtures

Chapter 20 QSPR Modeling of Adsorption of Pollutants by Carbon Nanotubes (CNTs)

Chapter 21 Ecotoxicological QSAR Modeling of Organophosphorus and Neonicotinoid Pesticides

Chapter 22 QSARs and Read-Across for Thiochemicals: A Case Study of Using Alternative Information for REACH Registrations

Chapter 23 In Silico Ecotoxicological Modeling of Pesticide Metabolites and Mixtures

Chapter 24 Combination of Read-Across and QSAR for Ecotoxicity Prediction: A Case Study of Green Algae Growth Inhibition Toxicity Data

Chapter 25 QSAR Approaches and Ecotoxicological Risk Assessment

Chapter 26 Multi-scale QSAR Approach for Simultaneous Modeling of Ecotoxic Effects of Pesticides

Chapter 27 Quantitative Structure-Toxicity Relationship Models Based on Hydrophobicity and Electrophilicity

Chapter 28 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

Chapter 29 Ecotoxicity Databases for QSAR Modeling

Chapter 30 VEGAHUB for Ecotoxicological QSAR Modeling

Chapter 31 Enalos Cloud Platform: Nanoinformatics and Cheminformatics Tools

Chapter 32 alvaDesc: A Tool to Calculate and Analyze Molecular Descriptors and Fingerprints