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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.
Auteur
Kunal Roy, PhD, is Professor in the Department of Pharmaceutical Technology in Jadavpur University in Kolkata, India. He is a recipient of the Commonwealth Academic Staff Fellowship and the Marie Curie International Incoming Fellowship. His research focus is on the quantitative structure-activity relationship and chemometric modeling, with applications in drug design and ecotoxicological modeling.
Texte du rabat
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:
Résumé
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:
Contenu
Prelims
Dedication
Preface
Section I. Introduction
Antonio Juan García-Fernández, Silvia Espín, Pilar Gómez-Ramírez, Pablo Sánchez-Virosta, Isabel Navas
Heiko L. Schoenfuss
Richard Brereton
Chanin Nantasenamat
Section II. Chemometric and Cheminformatic tools and protocols
Lennart Eriksson, Erik Johansson, Johan Trygg
G Gini , E Benfenati
Pravin Ambure, Stephen Jones Barigye, Rafael Gozalbes
Marjan Vracko, Viktor Drgan
Ana S. Moura and M. Natalia D.S. Cordeiro
S Raimondo, CM Lavelle, MG Barron
Section III. Case studies and Literature reports
Fotios Tsopelas, Anna Tsantili-Kakoulidou
Sorin Avram, Simona Funar-Timofei, Gheorghe Ilia
Luminita Crisan, Ana Borota, Alina Bora, Simona Funar-Timofei, Gheorghe Ilia
Gülçin Tucu, Serli Önlü, M T Sacan