Bioavailability and Neuroprotectivity of 3-(3, 4-dimethoxy phenyl)-1-4 (methoxy phenyl) prop-2-en-1-one against Schizophrenia: an in silico approach

Abstract

Schizophrenia is a major debilitating disorder worldwide. Schizophrenia is a result of multi-gene mutation and psycho-social factors. Mutated amino acid sequences in genes of DOPA such as TH, DDC, DBH, VMAT2, and NMDA (SET-1) have been implicated as major factors causing schizophrenia. In addition mutations in genes other than the DOPA genes such as RGS4, NRG1, COMT, AKT1 and DTNBP1 (SET 2) have also been implicated in the pathogenesis of schizophrenia. Several medicinal herbs and their bioactive constituents have been reported to be involved in ameliorating different neurological disorders including schizophrenia. The present study is mainly focused to study the effect of bioactive compound isolated from the celastrus panuculatus on DOPA and other related genes of schizophrenia using in silico approach. Moledular docking study was carriedout aginast all the selected targets with the lingds i.e. compound and clozapine using the autodock vina 4.0 module implemented in Pyrx 2010.12. The 3 D structures of genes of intrest were retrieved from the protein data bank (PDB). The bioavailability and pharmacological properties of the ligands were determined using OSIRIS server. The novelty of the compound was determined based on fitness, docking and bioavailability score. From the results it is observed that, the compoud has exhibited best dock score against all the selected targets than the clozapie except DBH and VMAT2 in SET-1 targets of DOPA genes. Where as the compound has shown best pharmacokinetic and biologicl property score than the clozapine. Hence, the compound can be considered for further in vitro and in vivo studies to determine the therapeutic efficacy and drug candidacy of the compound in future.

GRAPHICAL ABSTRACT

Keywords:

• Schizophrenia
• bioactive compound
• susceptible genes
• molecular docking
• bioavailability

Acknowledgements

The authors are grateful to the Department of Bioinformatics, Sri Venkateswara University for providing necessary facility to carry out this research work.

Disclosure statement

The authors declared that there is no conflict of interest in this work.