Author: Perivsi'c, Ognjen
Title: Recognition of potential Covid-19 drug treatments through the study of existing protein-drug and protein-protein structures: an analysis of kinetically active residues Cord-id: khxdk8t8 Document date: 2020_4_21
ID: khxdk8t8
Snippet: We report results of our study of approved drugs as potential treatments for COVID 19, based on the application of various bioinformatics predictive methods. The drugs studied include Chloroquine, Ivermectin, Remdesivir and alpha-difluoromethylornithine (DMFO). Our results indicate that these small drug molecules selectively bind to stable, kinetically active residues and residues adjoining them on the surface of proteins and inside protein pockets, and that some prefer hydrophobic over other ac
Document: We report results of our study of approved drugs as potential treatments for COVID 19, based on the application of various bioinformatics predictive methods. The drugs studied include Chloroquine, Ivermectin, Remdesivir and alpha-difluoromethylornithine (DMFO). Our results indicate that these small drug molecules selectively bind to stable, kinetically active residues and residues adjoining them on the surface of proteins and inside protein pockets, and that some prefer hydrophobic over other active sites. Our approach is not restricted to viruses and can facilitate rational drug design, as well as improve our understanding of molecular interactions, in general.
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