Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2081583 | Drug Discovery Today | 2009 | 7 Pages |
Abstract
We have broken old surviving dogmas and concepts used in computational chemistry and created an efficient in silico ADME-T pharmacological properties modeling and prediction toolbox for any xenobiotic. With the help of an innovative and pragmatic approach combining various in silico techniques, like molecular modeling, quantum chemistry and in-house developed algorithms, the interactions between drugs and those enzymes, transporters and receptors involved in their biotransformation can be studied. ADME-T pharmacological parameters can then be predicted after in vitro and in vivo validations of in silico models.
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Authors
Alexandre Jacob, Jaturong Pratuangdejkul, Sébastien Buffet, Jean-Marie Launay, Philippe Manivet,