In silico platform for xenobiotics ADME-T pharmacological properties modeling and prediction. Part I: Beyond the reduction of animal model use

Publication date

2009-04

Authors

Huynh, Lucie
Masereeuw, RoosORCID 0000-0002-1560-1074ISNI 0000000369326917
Friedberg, Thomas
Ingelman-Sundberg, Magnus
Manivet, Philippe

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Advisors

Supervisors

DOI

Document Type

Article

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Abstract

There is an urgent need for efficient in silico ADME-T prediction tools for the selection of potent therapeutic drugs as well as the elimination of toxic compounds. This is particularly important in view of the high costs and ethical issues inherent to the use of animal models for drugs filtering. To achieve this mission, not only does the accuracy of in silico tools need to be improved, but also new experts in the field with skills in theoretical chemistry, clinical and fundamental biology have to be trained. Similarly, clinical biologists committed to the obligation of means and legally responsible for the results they generate could establish a legal framework that defines legal responsibilities when performing in silico predictions.

Keywords

Animals, Computational Biology, Computer Simulation, Drug Industry, Forecasting, Humans, Models, Biological, Pharmacokinetics, Quantitative Structure-Activity Relationship, Tissue Distribution, Xenobiotics

Citation

Huynh, L, Masereeuw, R, Friedberg, T, Ingelman-Sundberg, M & Manivet, P 2009, 'In silico platform for xenobiotics ADME-T pharmacological properties modeling and prediction. Part I : Beyond the reduction of animal model use', Drug Discovery Today, vol. 14, no. 7-8, pp. 401-5.