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 absorption, compartment and non-compartmental modeling, physiologically based pharmacokinetic modeling, interspecies extrapolation, and population effects. Written in the successful Methods in Molecular BiologyTM series format where possible, chapters include introductions to their respective topics, lists of the materials and software tools used, methods, and notes on troubleshooting. 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.
Collen , Morris F. , Leonard Rubin , and Lou S. Davis . " Computers in Multiphasic Screening . " In Computers in Biomedical Research , vol . 1 , ed . Ralph W. Stacy and Bruce Waxman , chap . 14. New York : Academic Press , 1965 .
Talwar S, Squire IB, Downie PF, Davies JE, Ng LL. Plasma N terminal pro-brain natriuretic peptide and cardiotrophin 1 are raised in unstable angina. Heart. 2000;84:421-4. Wiese S, Breyer T, Dragu A, Wakili R, Burkard T, Schmidt-Schweda ...
The monoamine oxidase A (MAOA) genetic predisposition to impulsive violence: Is it relevant to criminal trials? ... S., Bloom, L. R., Fathima, S., Feigl, A. B., Gaziano, T., Mowafi, M., Pandya, A., Prettner, K., Rosenberg, L., Seligman, ...
Shepherd, B.S., Burch, A, Ron, B., Richman, N.H., Shimoda, S.K., Stetson, M.H., Lim, C, and Grau, E.G., 1997a, Effects of salinity, dietary levels of protein and 17a- methyltestosterone on growth hormone (GH) and prolactin (tPRL177 and ...
Rising interest in how diseases evolve through the monitoring of biological markers has created the need for enhanced sensing techniques. Immunoassay and matrix-assisted laser desorption/ionization time of flight mass spectrometry...
Bengtson. University of Rhode Island, Department of Biological Sciences, Kingston, RI 02881; Symposium Chairperson and Editor. Biomarkers Brent D. Palmer1 and Kyle W. Selcer2 VITELLOGENIN AS OVERVIEW xiii.
Cardiac Biomarkers in Clinical Practice
This book provides a comprehensive overview of the diagnosis and management of Non-alcoholic Fatty Liver Disease (NAFLD) and Non-Alcoholic Steatohepatis (NASH).
Biological Indicators of Stress in Fish
In: Comprehensive foodomics. Elsevier, Amsterdam, pp 568–578. https://doi.org/10.1016/B978-0-08-100596-5. 22881-3 Ye D et al (2019) Significant function and research progress of biomarkers in gastric cancer (Review).