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Computational Toxicology - Volume II (Paperback, Softcover reprint of the original 1st ed. 2013)
Loot Price: R3,425
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Computational Toxicology - Volume II (Paperback, Softcover reprint of the original 1st ed. 2013)
Series: Methods in Molecular Biology, 930
Expected to ship within 10 - 15 working days
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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 (TM) 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.
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