On Application of Carhart Atom Pairs to Predict Anticonvulsant Activity
Alan Talevi, Julian J. Prieto, Luis E. Bruno-Blanch and Eduardo Castro
DOI : 10.3844/ajbbsp.2006.119.128
American Journal of Biochemistry and Biotechnology
Volume 2, Issue 3
About 50 million people in the world suffer from epilepsy, especially in childhood, adolescence and old age. Available treatment fails to control epilepsy in up to 30% of affected people. In developing countries, however, the amount of patients that do not receive adequate treatment climbs up to 75%. Moreover, the new generation of antiepileptic drugs (AEDs) causes important central and peripheral side effects, including ataxia, diplopia, dizziness, headache, nausea, allergies and sedation. A mathematical model previously developed by Bagchi and Maiti, involving Carhart atom pairs and similarity measures, is applied in the prediction of anticonvulsant activity of two sets of compounds which have shown to be active in the Maximal Electroshock Seizure (MES) test, meaning that their mechanism of action can be at least partially explained through sodium channels blockade. Nine structurally heterogeneous molecules define the first set of compounds, with Carhart similarities to carbamazepine ranging from 0.005 to 0.593. The second set is defined by four benzodiazepines derivatives with Carhart similarities to THIQ-10c ranging from 0.533 to 0.570. A new, more specific, model is constructed based on the one from Bagchi and Maiti and a pharmacophore previously identified in our laboratory through an active analog approach. Applied to both sets of compounds, our model shows smaller average percentage error and average absolute error in the prediction than the one form Bagchi and Maiti and smaller SD as well. Accuracy and precision in the prediction also increases compared to those obtained when using bare similarity coefficients as relative activity indicators.
© 2006 Alan Talevi, Julian J. Prieto, Luis E. Bruno-Blanch and Eduardo Castro. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.