Epilepsy is a disease of complex nature and of different etiology. A large number of populations of different age groups and sex are affected by this disease. Most antiepileptic drugs are associated with adverse effects, such as sedation, ataxia and weight loss (e.g. topiramate) or weight gain (e.g. valproate, tiagabine, and vigabatrin). Keeping in mind the demand of improving the drug for convulsion therapy, there is an urge for new drug synthesis of the same series. To get an insight about the right structural features needed to develop the AMPA receptor antagonist, as these drugs found to have good neuroprotective activity and also produce lesser side effect as compared to marketed drugs. 2D-QSAR and docking studies were carried out. BioMed CAChe 7.5 was used for QSAR study while Molegro Virtual Docker (MVD 2007) was used to carry out the docking studies. Total 29 molecules were considered in the study. Among them, 19 molecules activity was reported and 10 molecules were created doing bioisosteric changes in previous set. The first set was divided into training (15) and test set (4). The best QSAR model is obtained with an r2 value of 0.9703 and q2 value of 0.6994 with five descriptors. This study will give a deep insight to understand the major role played by the descriptors of AMPA receptor antagonist drugs and their binding efficiency in ligand drug interaction
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