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Ecotoxicological QSARs
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216,98 €
206,13 €
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TRAMA
This volume focuses on computational modeling of the ecotoxicity of chemicals and presents applications of quantitative structure–activity relationship models (QSARs) in the predictive toxicology field in a regulatory context. The extensive book covers a variety of protocols for descriptor computation, data curation, feature selection, learning algorithms, validation of models, applicability domain assessment, confidence estimation for predictions, and much more, as well as case studies and literature reviews on a number of hot topics. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical advice that is essential for researchers everywhere. Authoritative and comprehensive, Ecotoxicological QSARs is an ideal source to update readers in the field with current practices and introduce to them new developments and should therefore be very useful for researchers in academia, industries, and regulatory bodies.SOMMARIO
Part I: Introduction 1. Ecotoxicological Risk Assessment in the Context of Different EU Regulations Antonio Juan García-Fernández 2. A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology Rahul Balasaheb Aher, Kabiruddin Khan, and Kunal Roy 3. Best Practices for Constructing Reproducible QSAR Models Chanin Nantasenamat 4. Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment Antonio Juan García-Fernández, Silvia Espín, Pilar Gómez-Ramírez, Emma Martínez-López, and Isabel Navas Part II: Methods and Protocols 5. Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Data Sets Pravin Ambure and M. Nata´lia Dias Soeiro Cordeiro 6. Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling Giuseppina Gini and Francesco Zanoli 7. Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology Renata P.C. Barros, Natália F. Sousa, Luciana Scotti, and Marcus T. Scotti 8. On the Relevance of Feature Selection Algorithms While Developing Non-Linear QSARs Riccardo Concu and M. Nata´lia Dias Soeiro Cordeiro 9. Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticles Ecotoxicity Ana S. Moura and M. Nata´lia Dias Soeiro Cordeiro 10. Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies for Carbon Nanostructures Bakhtiyor Rasulev 11. Early Prediction of Ecotoxicological Side-Effects of Pharmaceutical Impurities Based on Open-Source Non-Testing Approaches Anna Rita Tondo, Michele Montaruli, Giuseppe Felice Mangiatordi, and Orazio Nicolotti 12. Conformal Prediction for Ecotoxicology and Implications for Regulatory Decision Making Fredrik Svensson and Ulf Norinder 13. Read-Across for Regulatory Ecotoxicology Gulcin Tugcu, Serli Önlü, Ahmet Aydin, and Melek Türker Saçan 14. Methodological Protocol for Assessing the Environmental Footprint by Means of Ecotoxicological Tools: Wastewater Treatment Plants as an Example Case Roberta Pedrazzani, Pietro Baroni, Donatella Feretti, Giovanna Mazzoleni, Nathalie Steimberg, Chiara Urani, Gaia Viola, Ilaria Zerbini, Emanuele Ziliani, and Giorgio Bertanza Part III: Case Studies and Literature Reports 15. Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species David J. Ebbrell, Mark T.D. Cronin, Claire M. Ellison, James W. Firman, and Judith C. Madden 16. Ecotoxicological QSARs of Personal Care Products and Biocides Kabiruddin Khan, Hans Sanderson, and Kunal Roy 17. Computational Approaches to Evaluate Ecotoxicity of Biocides: Cases from the Project COMBASE Sergi Gómez-Ganau, Marco Marzo, Rafael Gozalbes, and Emilio Benfenati 18. QSAR Modeling of Dye Ecotoxicity Simona Funar-Timofei and Gheorghe Ilia 19. Ecotoxicological QSARs of Mixtures Pathan Mohsin Khan, Supratik Kar, and Kunal Roy 20. QSPR Modeling of Adsorption of Pollutants by Carbon Nanotubes (CNTs) Probir Kumar Ojha, Dipika Mandal, and Kunal Roy 21. Ecotoxicological QSAR Modeling of Organophosphorus and Neonicotinoid Pesticides Alina Bora, Luminita Crisan, Ana Borota, Simona Funar-Timofei, and Gheorghe Ilia 22. QSARs and Read-Across for Thiochemicals: A Case Study of Using Alternative Information for REACH Registrations Monika Nendza, Jan Ahlers, and Dirk Schwartz 23. In Silico Ecotoxicological Modeling of Pesticide Metabolites and Mixtures Chia Ming Chang, Chiung-Wen Chang, Fang-Wei Wu, Len Chang, and Tien-Cheng Liu 24. Combination of Read-Across and QSAR for Ecotoxicity Prediction: A Case Study of Green Algae Growth Inhibition Toxicity Data Ayako Furuhama 25. QSAR Approaches and Ecotoxicological Risk Assessment Mabrouk Hamadache, Othmane Benkortbi, Abdeltif Amrane, and Salah Hanini 26. Multi-Scale QSAR Approach for Simultaneous Modeling of Ecotoxic Effects of Pesticides Alejandro Speck-Planche 27. Quantitative Structure-Toxicity Relationship Models Based on Hydrophobicity and Electrophilicity Gourhari Jana, Ranita Pal, Shamik Sural, and Pratim Kumar Chattaraj 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 Hans Sanderson, Kabiruddin Khan, Anna M. Brun Hansen, Kristin Connors, Monica W. Lam, Kunal Roy, and Scott Belanger Part IV: Tools, Databases, and Web Servers 29. Ecotoxicity Databases for QSAR Modeling Shinjita Ghosh, Supratik Kar, and Jerzy Leszczynski 30. VEGAHUB for Ecotoxicological QSAR Modeling Emilio Benfenati and Anna Lombardo 31. Enalos ClouAUTORE
Dr. Kunal Roy is a Professor in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India. He has been a recipient of Commonwealth Academic Staff Fellowship (University of Manchester, 2007) and Marie Curie International Incoming Fellowship (University of Manchester, 2013). The fields of his research interest are Quantitative Structure-Activity Relationship (QSAR) and Chemometric Modeling with application in Drug Design and Ecotoxicological Modeling. Dr. Roy has published about 300 research articles in refereed journals (current SCOPUS h index 40; SCOPUS Author ID 56962764800). He has also coauthored two QSAR related books (Academic Press and Springer), edited five QSAR books (Springer, Academic Press and IGI Global) and published twelve book chapters. Dr. Roy is a Co-Editor-in-Chief of Molecular Diversity (Springer Nature) and Editor-in-Chief of International Journal of Quantitative Structure-Property Relationships (IGI Global). He also serves in different capacities in the Editorial Boards of several International Journals.ALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9781071601495
- Collana: Methods in Pharmacology and Toxicology
- Dimensioni: 254 x 178 mm Ø 1779 gr
- Formato: Copertina rigida
- Illustration Notes: XXI, 830 p. 221 illus., 166 illus. in color. With online files/update.
- Pagine Arabe: 830
- Pagine Romane: xxi