Screening and druggability analysis of some plant metabolites against SARS-CoV-2: An integrative computational approach

The sudden outbreak of novel coronavirus has caused a global concern due to its infection rate and mortality.Despite extensive research, there are still no specific drugs or vaccines to combat SARS-CoV-2 infection.Hence, this study was designed to evaluate some plant-based active compounds magnetic rack for drug candidacy against SARS-CoV-2 by usin

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Adaptation of Arginine Synthesis among Uropathogenic Branches of the Escherichia coli Phylogeny Reveals Adjustment to the Urinary Tract Habitat

ABSTRACT Urinary tract infections (UTIs) are predominantly caused by uropathogenic Escherichia coli (UPEC).UPEC pathogenesis requires passage through a severe population bottleneck involving intracellular bacterial communities (IBCs) that are clonal expansions of a single invading UPEC bacterium in a urothelial superficial facet cell.IBCs occur onl

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Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design

Objective Despite extensive exploration of potential biomarkers of cardiovascular diseases (CVDs) derived from retinal images, it remains unclear how retinal images contribute to CVD risk profiling and how the results can inform lifestyle modifications.Therefore, we aimed to determine the Clipboards performance of cardiovascular risk prediction mod

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