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Prediction of Pharmacokinetic Parameters

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Computational Toxicology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 929))

Abstract

In silico tools specifically developed for prediction of pharmacokinetic parameters are of particular interest to pharmaceutical industry because of the high potential of discarding inappropriate molecules during an early stage of drug development itself with consequent saving of vital resources and valuable time. The ultimate goal of the in silico models of absorption, distribution, metabolism, and excretion (ADME) properties is the accurate prediction of the in vivo pharmacokinetics of a potential drug molecule in man, whilst it exists only as a virtual structure. Various types of in silico models developed for successful prediction of the ADME parameters like oral absorption, bioavailability, plasma protein binding, tissue distribution, clearance, half-life, etc. have been briefly described in this chapter.

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Authors and Affiliations

  1. Pt. B.D. Sharma University of Health Sciences, Rohtak, India

    A. K. Madan

  2. M. D. University, Rohtak, India

    Harish Dureja

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  1. A. K. Madan
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  2. Harish Dureja
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Correspondence to A. K. Madan .

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Editors and Affiliations

  1. School of Biomedical Engineering, Chemical & Biological Engineering, Colorado State University, Campus Delivery 1370, Fort Collins, 80523-1370, Colorado, USA

    Brad Reisfeld

  2. , Chemical & Biological Engineering, Colorado State University, Campus Delivery 1370, Fort Collins, 80523-1370, Colorado, USA

    Arthur N. Mayeno

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Madan, A.K., Dureja, H. (2012). Prediction of Pharmacokinetic Parameters. In: Reisfeld, B., Mayeno, A. (eds) Computational Toxicology. Methods in Molecular Biology, vol 929. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-050-2_14

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  • DOI: https://doi.org/10.1007/978-1-62703-050-2_14

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