Computational Toxicology
Volume II
Editors: Reisfeld, Brad, Mayeno, Arthur N. (Eds.)
Free Preview- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Buy this book
- About this book
-
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 applied and basic science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. Computational Toxicology was conceived to provide both experienced and new biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. This two-volume set serves as a resource to help introduce and guide readers in the development and practice of these tools to solve problems and perform analyses in this area.
Divided into six sections, Volume II covers a wide array of methodologies and topics. The volume begins by exploring the critical area of predicting toxicological and pharmacological endpoints, as well as approaches used in the analysis of gene, signaling, regulatory, and metabolic networks. The next section focuses on diagnostic and prognostic molecular indicators (biomarkers), followed by the application of modeling in the context of government regulatory agencies. Systems toxicology approaches are also introduced. The volume closes with primers and background on some of the key mathematical and statistical methods covered earlier, as well as a list of other resources. Written in a format consistent with the successful Methods in Molecular Biology™ series where possible, chapters include introductions to their respective topics, lists of the necessary materials and software tools used, methods, and notes on troubleshooting and avoiding known pitfalls.
Authoritative and easily accessible, Computational Toxicology will allow motivated readers to participate in this exciting field and undertake a diversity of realistic problems of interest.
- Table of contents (25 chapters)
-
-
Methods for Building QSARs
Pages 3-27
-
Accessing and Using Chemical Databases
Pages 29-52
-
From QSAR to QSIIR: Searching for Enhanced Computational Toxicology Models
Pages 53-65
-
Mutagenicity, Carcinogenicity, and Other End points
Pages 67-98
-
Classification Models for Safe Drug Molecules
Pages 99-124
-
Table of contents (25 chapters)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Computational Toxicology
- Book Subtitle
- Volume II
- Editors
-
- Brad Reisfeld
- Arthur N. Mayeno
- Series Title
- Methods in Molecular Biology
- Series Volume
- 930
- Copyright
- 2013
- Publisher
- Humana Press
- Copyright Holder
- Springer Science+Business Media, LLC
- Distribution Rights
- Distribution rights for India: Mehul Book Sales, Mumbai, India
- eBook ISBN
- 978-1-62703-059-5
- DOI
- 10.1007/978-1-62703-059-5
- Hardcover ISBN
- 978-1-62703-058-8
- Softcover ISBN
- 978-1-4939-6326-3
- Series ISSN
- 1064-3745
- Edition Number
- 1
- Number of Pages
- XI, 648
- Topics
