Quality by design aided self-nano emulsifying drug delivery systems development for the oral delivery of Benidipine: Improvement of biopharmaceutical performance.

The primary objective of the research effort is to establish efficient solid self-nanoemulsifying drug delivery systems (S-SNEDDS) for benidipine (BD) through the systematic application of a quality-by-design (QbD)-based paradigm. Utilizing Labrafil M 2125 CS, Kolliphor EL, and Transcutol P, the BD-S-SNEDDS were created. The central composite design was adopted to optimize numerous components.

Gene ontology enrichment analysis of PPAR-γ modulators from in diabetes mellitus.

Background: PPAR-γ has an integrative role in the management of insulin resistance; ligands of this receptor have emerged as potent insulin sensitizers and may modulate proteins involved in the pathogenesis of diabetes mellitus. Hence the present study is aimed to identify PPAR-γ modulators from the plant and predict the ontology enrichment analysis utilizing various in-silico tools.

Methods: ChEBI database was used to mine the phytoconstituents present in the plant , SwissTargetPrediction database was used to identify the targets, and scrutinizing of phytoconstituents modulating PPAR-γ was performed.

Screening of JAK-STAT modulators from the antiviral plants of Indian traditional system of medicine with the potential to inhibit 2019 novel coronavirus using network pharmacology.

The majority of the bioactives under investigation were predicted to target TNF receptor-associated factor 5 in the Janus kinase/signal transducers and activators of the transcription pathway. Similarly, druglikeness prediction identified vitexilactone to possess the highest druglikeness score, i.e.

Gene set enrichment analysis of α-amylase and α-glucosidase inhibitors of .

Background: The present study aimed to evaluate α-amylase and α-glucosidase inhibitory activity of various extracts of predict the binding affinity of multiple phytoconstituents with both enzymes via in silico molecular docking and identify the probably modulated pathways by the lead hit.

Methods: Different extracts of i.e.

Withanolides from as an immunity booster and their therapeutic options against COVID-19.

Traditionally, is widely used as an immune booster, anti-viral, and for multiple medicinal purposes. The present study investigated the withanolides as an immune booster and anti-viral agents against the coronavirus-19. Withanolides from were retrieved from the open-source database, their targets were predicted using DIGEP-Pred, and the protein-protein interaction was evaluated.

In silico analysis of phytoconstituents from with targets related to diabetes and obesity.

Traditionally, is commonly used in the treatment of diabetes and obesity; has been evaluated for their anti-diabetic and anti-obese potency in experimental animal models. However, the binding affinity of multiple bioactives with various proteins involved in the pathogenesis of diabetes and obesity has not been reported yet. Hence, the present study aimed to assess the binding affinity of multiple bioactives from with various targets involved in the pathogenesis of diabetes and obesity.

Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19.

The Ministry of AYUSH recommended the use of a decoction of the mixture of , , , and as a preventive measure by boosting the immunity against the severity of infection caused by a novel coronavirus (COVID-19). The present study aimed to identify the probable modulated pathways by the combined action of AYUSH recommended herbal tea and golden milk formulation as an immune booster against COVID-19. Reported phytoconstituents of all the medicinal plants were retrieved from the ChEBI database, and their targets were predicted using DIGEP-Pred.