Predictive toxicology in drug safety / edited by Jinghai J. Xu, Laszlo Urban.

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$a 9780511779053 (ebook)

$z 9780521763646 (hardback)

$a (UkCbUP)CR9780511779053

$y 202009211217 $z santha

$a UkCbUP $b eng $e rda $c UkCbUP

$a RA1238 $b .P743 2011

$a 615/.704 $2 22

$a Predictive toxicology in drug safety / $c edited by Jinghai J. Xu, Laszlo Urban.

$a Cambridge : $b Cambridge University Press, $c 2011.

$a 1 online resource (xii, 389 pages) : $b digital, PDF file(s).

$a text $b txt $2 rdacontent

$a computer $b c $2 rdamedia

$a online resource $b cr $2 rdacarrier

$a Title from publisher's bibliographic system (viewed on 05 Oct 2015).

$a Machine generated contents note: Part I. Specific Areas of Predictive Toxicology: 1. The human predictive value of combined animal toxicity testing: current state and emerging approaches Harry M. Olson and Thomas S. Davies; 2. Screening approaches for genetic toxicity Jiri Aubrecht; 3. Cardiac safety Martin Traebert and Berengere Dumotier; 4. Predicting drug-induced liver injury: safer patients or safer drugs? Jinghai James Xu; 5. In vitro evaluation of metabolic drug-drug interactions Albert P. Li; 6. Reliability of reactive metabolite and covalent binding assessments in prediction of idiosyncratic drug toxicity Amit S. Kalgutkar; 7. Immunotoxicology of haptens and nucleic acids Jörg Vollmer; 8. Predictive models for neurotoxicity assessment Lucio G. Costa, Gennaro Giordano and Marina Guizzetti; 9. De-risking developmental toxicity-mediated drug attrition in the pharmaceutical industry Terence R.S. Ozolins; Part II. Integrated Approaches of Predictive Toxicology: 10. Integrated approaches to lead optimization: improving the therapeutic index Laszlo Urban, Jianling Wang, Dejan Bojanic and Susan Ward; 11. Predictive toxicology approaches for oncology drugs Timothy J. Maziasz, Vivek J. Kadambi, and Carl L. Alden; 12. Mechanism-based toxicity studies for drug development Monicah A. Otieno and Lois D. Lehman-McKeeman; 13. Fish embryos as alternative models for drug safety evaluation Stefan Scholz, Anita Büttner, Nils Klüver, and Joaquin Guinea; 14. The role of genetic-modified mouse models in predictive toxicology Glenn H. Cantor; 15. Toxicogenomic and pathway analysis Bin Lu; 16. Drug safety biomarkers David Gerhold and Frank D. Sistare; 17. Application of TK/PD modeling in predicting dose-limiting toxicity Li J. Yu, Lee Silverman, Carl Alden, Guohui Liu, Shimoga Prakash, and Frank Lee; 18. Prediction of therapeutic index of antibody-based therapeutics: mathematical modeling approaches Kapil Mayawala and Bruce Gomes; 19. Vaccine toxicology: non-clinical predictive strategies Sarah Gould and Raymond Oomen.

$a According to the Institute of Medicine (IOM) and U.S. Food and Drug Administration (FDA), 'developing new scientific approaches to detecting, understanding, predicting and preventing adverse events' was a critical path to the future of drug safety. This book brings together a collection of state-of-the-art chapters, written by experts in the drug safety field. It provides information on the present knowledge of drug side effects and their mitigation strategy during drug discovery, gives guidance for risk assessment and promotes evidence-based toxicology. Each specific area of toxicology relevant for drug discovery is discussed in detail, including theory, experimental approaches and data interpretation supported by comprehensive up-to-date references. Many chapters provide fascinating case studies, which are of general interest for those who have basic science training and are interested in how chemicals interact with the human body.

$a Drugs $x Toxicity testing.

$a Xu, Jinghai J., $e editor.

$a Urban, Laszlo, $d 1951- $e editor.

$i Print version: $z 9780521763646

$u https://doi.org/10.1017/CBO9780511779053

$a VIRTUA