Computer aided toxicity and pharmacokinetic prediction studies attracted the attention of
pharmaceutical industries as an alternative means to predict potential drug candidates. In …

The aim of the present study focuses on the molecular docking approach to screen
alternative drug that can regulate the hyperglycemia by down-regulating α-glucosidase and …

The amelioration of postprandial hyperglycemia in diabetic conditions could be
accomplished by the inhibition of α-glucosidases, a set of intestinal carbohydrate digestive …

Type 2 diabetes mellitus (T2DM) is characterized by elevated blood glucose levels and can
lead to serious complications such as nephropathy, neuropathy, retinopathy and …

The purpose of this study was to analyze the inhibitory action of quercetin glycosides by
computational docking studies. For this, natural metabolite quercetin glycosides isolated …

Piper betle L. is widely distributed and commonly used medicinally important herb. It can
also be used as a medication for type 2 diabetes patients. In this study, compounds of P …

Diabetes mellitus (DM) is a chronic metabolic condition that can lead to significant
complications and a high fatality rate worldwide. Efforts are ramping up to find and develop …

Diabetes is a chronic metabolic disorder, and as per the global burden, it is estimated that
around 462 million people will be affected due to the cause of this disease. Currently …

In this study, molecular interactions of the ligands, quercetin, gallic acid, and metformin with
various diabetes mellitus-related protein targets, such as glycogen phosphorylase and …

Progression in computational research has made it possible for the in silico methods to offer
epochal benefits to both regulatory needs and the pharmaceutical industry to assess the …