: Selective GluN2B/N-methyl-D-aspartate receptor (NMDAR) antagonists have exposed their clinical effectiveness in cluster of neurodegenerative diseases such as Epilepsy, Alzheimer’s disease, Parkinson’s disease, pain and depression. Hence, GluN2B/NMDAR is considered to be a prospective target for the management of neurodegenerative diseases. Here, we have discussed current results and significance of subunit selective GluN2B/NMDAR antagonists to pave the way for establishment of new, safe, and economical drug candidate in a near future. Using summarized data of selective GluN2B/NMDAR antagonists, medicinal chemists become certainly a step closer to a goal of improving therapeutic and side effect profile of selective antagonists. Outlined summary of designing strategies, synthetic schemes, and pharmacological evaluation studies reinvigorate efforts to identify, modify, and synthesize novel GluN2B/NMDAR antagonists to treat neurodegenerative diseases.

No abstract

No abstract

No abstract

Background: Diabetes mellitus (DM) is the most severe, chronic metabolic disorder with abnormally elevated concentration of plasma glucose levels, leading to significant complications, such as diabetic neuropathy, retinopathy, and cardiovascular illnesses. Objective: Synthetic drugs have some disadvantages and limitations. Therefore, there is a continuous global and insisting need for new and better treatment options for the Diabetes Mellitus. Method: In this study, 42 natural antidiabetic constituents like alkaloids, glycosides and flavonoids were selected on the basis of mechanism of action on various molecular targets such as, Glucokinase activator, Dipeptidyl peptidase 4 (DPP-4), peroxisome proliferator-activated receptors (PPARγ), and α-glucosidase inhibitor. To investigate the potential molecular targets for natural antidiabetcs agents molecular docking study was carried out using Glide module of Schrodinger Suit. Results and Discussion: Interactions of specific amino acid of the targets with the atoms of the chemical constituents and their Gscore indicate the proper binding of the chemical constituents with target. The results revealed that Myricetin, Quercetin are interactiing with active sites of the target chosen and can be used for the designing of novel compounds as antidibetics. Conclusion: Calculated GScore could be used as a preliminary tool for screening of antidiabetic drugs before performing experimental activity.