Virendra S. Gomase and Somnath Tagore Pages 193 - 198 ( 6 )
The various scaling methodologies and molecular features analysis were applied to new dataset to predict human pharmacokinetics studies. Whereas the predictive accuracies demonstrated across all of the various methodologies were lower for this higher clearance compound dataset, scaling from species continued to be an accurate methodology, and human volume of distribution was similarly well predicted regardless of scaling methodology. Also, extrapolation is the method for constructing new data points given a set of discrete data points. Methods estimate is reasonably reliable for short times, but for longer times, the estimate is liable to become less accurate. Species Scaling and Extrapolation are useful for acquiring toxicological data- epidemiological and experimental study. Animal studies help us to understand toxicity characteristics of a chemical before human exposure is allowed, whereas the epidemiological method generally does not. Species scaling and extrapolation from animals is necessary in many cases which helps in dealing with the socalled human risks more properly.
Species scaling, extrapolation, pharmacokinetics, clearance, metabolism
Department of Bioinformatics,Dr. D.Y. Patil Institute for Biotechnology and Bioinformatics, Padmashree Dr. D.Y. Patil University, Plot No-50, Sector-15, CBD Belapur,Navi Mumbai, 400614, India.