:
Parkinson’s disease is characterized by decrease level of dopaminergic neurotransmitters and this decrease is due to degradation of dopamine by protein human Monoamine Oxidase B (MAO-B). Thus, in order to treat Parkinson’s disease MAO-B should be inhibited. During this study, an attempt is made to find the novel phytochemicals from plant Ocimum bacillicum that can inhibit this protein. The data of chemical constituents from plant Ocimum bacillicum was collected and inhibitory activity of these phytochemicals were then predicted by using in-silico methods, both Structure Based (SB) and Ligand Based Virtual Screening. Molecular docking, one of the common Structure Based Virtual Screening method, have been used during this search. Traditionally, molecular docking is used to predict the orientation and binding affinity of the ligand within the active site of protein. Molegro virtual docker (MVD) software has been used for this purpose. On the other hand, Random Forest Model, one of the LBVS method, also been used to predict the activity of all of the chemical constituents of Ocimum bacillicum.
:
During the docking studies, All the 108 compounds found in Ocimum bacillicum were docked with in the active site of MAO-B (PDB code: 4A79) out of which 57 compounds successfully formed the hydrogen bond with the tyr 435, a crucial amino acid for the biology activity of the enzyme. Rutin (-182.976 Kcal/mol), Luteolin (-163.171 Kcal/mol), Eriodictylol-7-O-glucoside (-160.13 Kcal/mol), Rosmaranic Acid (-133.484 Kcal/mol) and Isoquercitrin (-131.493 Kcal/mol) are among the top hits with the highest MolDock score along with hydrogen interaction with tyr 435.
:
Using the RF model, ten compounds out of 108 chemical constituent of Ocimum bacillicum were predicted to be active, Apigenin (1.0), Eriodictyol (1.0), Orientin (0.876), Kaempferol (0.8536), Luteolin (0.813953), Rosmarinic-Acid (0.7738095) are predicted to be most active with highest RF score.
:
The comparison of the two screening methods shows that the ten compounds that were predicted to be active by RF model, are also found in top hits of docking studies with highest score. The top hits obtained during this study are predicted to be the inhibitor of MAO-B, thus, could be used further for the development of drugs for the treatment Parkinson’s disease (PD).