β-Sitosterol, a phytocompound from reveals anti-diabetic properties through α-Amylase inhibition: an i and analysis.

The study aims to identify and validate a potential α-Amylase inhibitor from the leaf extract of the Parthenium hysterophorus. Molecular docking and dynamics analyses were performed to test the anti-diabetic efficacy of the compound by focusing on α-Amylase inhibition. The molecular docking study using AutoDock Vina (PyRx) and SeeSAR tools identified β-Sitosterol as an effective α-Amylase inhibitory compound.

Post-transport TOPS score as a predictive marker of mortality among transported neonates and its comparative analysis with SNAP-II PE.

Aim: Multiple parameters are available to predict the outcome of critically sick neonates admitted in neonatal intensive care unit (NICU). Main aim of the study is to validate the role of TOPS, especially the post-transport TOPS score as a simplified assessment of neonatal acute physiology in predicting mortality among transported neonates admitted at level III NICU. Also, to compare the efficiency of post transport TOPS score with SNAP II PE in predicting mortality.

Molecular docking analysis reveals the functional inhibitory effect of Genistein and Quercetin on TMPRSS2: SARS-COV-2 cell entry facilitator spike protein.

Background: The Transmembrane Serine Protease 2 (TMPRSS2) of human cell plays a significant role in proteolytic cleavage of SARS-Cov-2 coronavirus spike protein and subsequent priming to the receptor ACE2. Approaching TMPRSS2 as a therapeutic target for the inhibition of SARS-Cov-2 infection is highly promising. Hence, in the present study, we docked the binding efficacy of ten naturally available phyto compounds with known anti-viral potential with TMPRSS2.

A content analysis of social media on outbreak of infodemic amidst COVID-19 pandemic.

Background: With so much content on social media platforms about COVID-19, determining which information is reliable can be a daunting task. Hence, this study is aimed to analyze various posts with regard to COVID-19 on various social media platforms for their reliability and also examined various factors that influence information reliability.

Materials And Methods: A cross-sectional study was conducted, with 934 samples related to coronavirus pandemic published on Twitter, Instagram, and Facebook using systematic random sampling.