ABSTRACT

Epilepsy is a neurological disorder and can be threatening to life of an individual. Epilepsy is characterized by a long-term risk of recurrent seizures. These seizures may present in several ways depending on the part of the brain involved and the person's age. Approximately 80% of developing world leads the 80% of cases worldwide. In 2015, it resulted in 125,000 deaths up from 112,000 deaths in 1990. Valproic Acid is the best first choice drug for seizures. But they have their short comings such as neural tube effects (NTDs), so there is a need for finding drugs which is effective with minor adversities. In our present study we focused on calculating In-Silico ADMET properties, so that it can correlate biological properties (Pharmacokinetic / Pharmacodynamics parameters) and overcome the toxicity. Our ligand based drug designing study explores the mechanisms while primarily focussing on the efficacy of the valproic acid derivatives as antiepileptic. In this study toxicity prediction has been done based on calculation of drug likeliness. During analysis we found that ADMET Predicted profile of several candidate compounds were better than valproic acid. Keywords: Valproic acid, ADMETsar, Ligand based Drug Designing, Toxicity, ADME
Publication date: 01/01/2020

https://ijbpas.com/pdf/2020/January/MS_IJBPAS_2019_4903.pdf

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https://doi.org/10.31032/IJBPAS/2020/9.1.4903