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."
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