| 書目名稱 | Ecotoxicological QSARs | | 編輯 | Kunal Roy | | 視頻video | http://file.papertrans.cn/303/302185/302185.mp4 | | 概述 | Focuses on computational modeling of the ecotoxicity of chemicals.Features practical advice for conducting QSAR research.Presents methods, protocols, case studies, and more | | 叢書名稱 | Methods in Pharmacology and Toxicology | | 圖書封面 |  | | 描述 | 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.. | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Predictive toxicology; Ecotoxicological risk assessment; Pharmaceuticals; Industrial chemicals; Data cur | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-0716-0150-1 | | isbn_softcover | 978-1-0716-0152-5 | | isbn_ebook | 978-1-0716-0150-1Series ISSN 1557-2153 Series E-ISSN 1940-6053 | | issn_series | 1557-2153 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2020 |
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