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Ecotoxicological QSARs

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Author :
Release : 2020
Genre :
Kind : eBook
Book Rating : 501/5 ( reviews)

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Book Synopsis Ecotoxicological QSARs by :

Download or read book Ecotoxicological QSARs written by . This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt:

QSAR and SPECTRAL-SAR in Computational Ecotoxicology

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Author :
Release : 2012-07-19
Genre : Science
Kind : eBook
Book Rating : 849/5 ( reviews)

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Book Synopsis QSAR and SPECTRAL-SAR in Computational Ecotoxicology by : Mihai V. Putz

Download or read book QSAR and SPECTRAL-SAR in Computational Ecotoxicology written by Mihai V. Putz. This book was released on 2012-07-19. Available in PDF, EPUB and Kindle. Book excerpt: QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information-knowledge of the chemicals used in green chemistry. It assesses a specific model of pattern characterization of concerned active substances at the bio-, eco-, and pharmacologic levels through unitary formulation o

Chemometrics and Cheminformatics in Aquatic Toxicology

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Author :
Release : 2022-01-06
Genre : Science
Kind : eBook
Book Rating : 596/5 ( reviews)

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Book Synopsis Chemometrics and Cheminformatics in Aquatic Toxicology by : Kunal Roy

Download or read book Chemometrics and Cheminformatics in Aquatic Toxicology written by Kunal Roy. This book was released on 2022-01-06. Available in PDF, EPUB and Kindle. Book excerpt: CHEMOMETRICS AND CHEMINFORMATICS IN AQUATIC TOXICOLOGY Explore chemometric and cheminformatic techniques and tools in aquatic toxicology Chemometrics and Cheminformatics in Aquatic Toxicology delivers an exploration of the existing and emerging problems of contamination of the aquatic environment through various metal and organic pollutants, including industrial chemicals, pharmaceuticals, cosmetics, biocides, nanomaterials, pesticides, surfactants, dyes, and more. The book discusses different chemometric and cheminformatic tools for non-experts and their application to the analysis and modeling of toxicity data of chemicals to various aquatic organisms. You’ll learn about a variety of aquatic toxicity databases and chemometric software tools and webservers as well as practical examples of model development, including illustrations. You’ll also find case studies and literature reports to round out your understanding of the subject. Finally, you’ll learn about tools and protocols including machine learning, data mining, and QSAR and ligand-based chemical design methods. Readers will also benefit from the inclusion of: A thorough introduction to chemometric and cheminformatic tools and techniques, including machine learning and data mining An exploration of aquatic toxicity databases, chemometric software tools, and webservers Practical examples and case studies to highlight and illustrate the concepts contained within the book A concise treatment of chemometric and cheminformatic tools and their application to the analysis and modeling of toxicity data Perfect for researchers and students in chemistry and the environmental and pharmaceutical sciences, Chemometrics and Cheminformatics in Aquatic Toxicology will also earn a place in the libraries of professionals in the chemical industry and regulators whose work involves chemometrics.

A Primer on QSAR/QSPR Modeling

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Author :
Release : 2015-04-11
Genre : Science
Kind : eBook
Book Rating : 816/5 ( reviews)

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Book Synopsis A Primer on QSAR/QSPR Modeling by : Kunal Roy

Download or read book A Primer on QSAR/QSPR Modeling written by Kunal Roy. This book was released on 2015-04-11. Available in PDF, EPUB and Kindle. Book excerpt: This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties. It explains how the sub-discipline of Cheminformatics is used for many applications such as risk assessment, toxicity prediction, property prediction and regulatory decisions apart from drug discovery and lead optimization. The authors also present, in basic terms, how QSARs and related chemometric tools are extensively involved in medicinal chemistry, environmental chemistry and agricultural chemistry for ranking of potential compounds and prioritizing experiments. At present, there is no standard or introductory publication available that introduces this important topic to students of chemistry and pharmacy. With this in mind, the authors have carefully compiled this brief in order to provide a thorough and painless introduction to the fundamental concepts of QSAR/QSPR modelling. The brief is aimed at novice readers.

Structure—Activity Relationships in Environmental Sciences

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Author :
Release : 2012-12-06
Genre : Science
Kind : eBook
Book Rating : 050/5 ( reviews)

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Book Synopsis Structure—Activity Relationships in Environmental Sciences by : M. Nendza

Download or read book Structure—Activity Relationships in Environmental Sciences written by M. Nendza. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Structure-Activity Relationships in Environmental Science is the first book of its kind that brings together information from a variety of sources into one document. It provides a comprehensive overview of the entire field of quantitative structure-activity relationships (QSARs) as well as being a reference for SAR experts. The book comprises three parts. Part One covers the theoretical background of structure-activity studies and Part Two deals with the practical applications of such methods in the environmental sciences. Part Three critically discusses SAR models with respect to their reliability and their aptness in environmental hazard and risk assessment. Recommendations are made as to which model to use and the case is presented for using QSARs in hazard assessment. The use of QSARs is becoming increasingly important since there is little experimental data available on environmentally relevant chemicals. Structure-Activity Relationships in Environmental Sciences will thus serve as an invaluable guide to both postgraduate and research scientists as well as professional ecologists.

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