Titlebook: Ecotoxicological QSARs; Kunal Roy Book 2020 Springer Science+Business Media, LLC, part of Springer Nature 2020 Predictive toxicology.Ecoto

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Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monity relationship (QSAR) models are no exception. In fact, one can consider there is a renaissance of QSAR techniques and respective reliability as there is a greater synergy between the two of them. Further, this new wave of . (ML) techniques allows new avenues in several fields of application, name

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Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies foole in lead structure optimization, as well as in prediction of various physicochemical properties, biological activity, and environmental toxicology. One of the recent developments in QSAR approaches for nanostructures is a three-dimensional QSAR. For the last two decades, 3D-QSAR has already been

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Read-Across for Regulatory Ecotoxicologyirements, such as endpoint estimation, screening and prioritization, and hazard identification, provided that they are justified and documented. In this chapter, we present a recompilation of recognized regulations and guidelines, as well as software and tools, used in grouping and read-across for e

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Ecotoxicological QSARs of Personal Care Products and Biocidesat internal body problems like infections, etc. With a continuous change in culture and lifestyle in the society, the consumption of PCPs has increased several fold. In contrast, biocides are any chemical substances administered individually or in mixture with the intention of “destroying, deterring

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1557-2153 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..978-1-0716-0152-5978-1-0716-0150-1Series ISSN 1557-2153 Series E-ISSN 1940-6053