id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-306177-5wefp31y	Iheagwam, Franklyn Nonso	Computer-Aided Analysis of Multiple SARS-CoV-2 Therapeutic Targets: Identification of Potent Molecules from African Medicinal Plants	2020-09-12		.txt	text/plain	4804	251	42	e Unites States Food and Drug Administration-(USFDA-) approved drugs [26] , drugbank [27, 28] , traditional Ayurvedic, Chinese and natural medicine [20, [28] [29] [30] [31] , dark chemical matter, and fooDB [25] are some of the ZINC database subsets that have been rigourously screened for molecules to combat SARS-CoV-2 with main protease, RNA-dependent RNA polymerase, and angiotensin-converting enzyme-2 as the major therapeutic targets. Hence, this study analysed a plethora of natural products (NPs) from African medicinal plants with known bioactivities in human as therapeutic candidates targeting and inhibiting SARS-CoV-2 RNA synthesis, replication, structural protein function, and host-specific receptors/enzymes. In the course of drug discovery, structure-based virtual screening is a computational approach utilised to identify promising novel small chemical ligands from curated chemical compound databases with potential activity against drug targets [48] .	./cache/cord-306177-5wefp31y.txt	./txt/cord-306177-5wefp31y.txt