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.
| Original language | English |
|---|---|
| Pages (from-to) | 406-412 |
| Number of pages | 7 |
| Journal | Drug Discovery Today |
| Volume | 14 |
| Issue number | 7-8 |
| DOIs | |
| Publication status | Published - Apr 2009 |
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