书目名称 | Computational Toxicology | 副标题 | Volume I | 编辑 | Brad Reisfeld,Arthur N. Mayeno | 视频video | | 概述 | Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts.Includes supplementary materia | 丛书名称 | Methods in Molecular Biology | 图书封面 |  | 描述 | .Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. .Computational Toxicology. provides biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. Divided into four sections, .Volume I. covers a wide array of methodologies and topics. Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and the use of computational techniques and databases to predict chemical properties and toxicity, as well as an overview of molecular dynamics. The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of abso | 出版日期 | Book 2013 | 关键词 | chemical property prediction; cheminformatics; computational modeling; mathematical modeling; pharmacody | 版次 | 1 | doi | https://doi.org/10.1007/978-1-62703-050-2 | isbn_softcover | 978-1-4939-5897-9 | isbn_ebook | 978-1-62703-050-2Series ISSN 1064-3745 Series E-ISSN 1940-6029 | issn_series | 1064-3745 | copyright | Springer Science+Business Media, LLC 2013 |
The information of publication is updating
|
|