Working Paper Article Version 1 This version is not peer-reviewed

Recognition of Potential COVID-19 Drug Treatments Through the Study of Existing Protein-Drug and Protein-Protein Structures: An Analysis of Kinetically Active Residues

Version 1 : Received: 9 August 2020 / Approved: 11 August 2020 / Online: 11 August 2020 (04:09:43 CEST)

A peer-reviewed article of this Preprint also exists.

Perišić, O. Recognition of Potential COVID-19 Drug Treatments through the Study of Existing Protein–Drug and Protein–Protein Structures: An Analysis of Kinetically Active Residues. Biomolecules 2020, 10, 1346. Perišić, O. Recognition of Potential COVID-19 Drug Treatments through the Study of Existing Protein–Drug and Protein–Protein Structures: An Analysis of Kinetically Active Residues. Biomolecules 2020, 10, 1346.

Journal reference: Biomolecules 2020, 10, 1346
DOI: 10.3390/biom10091346

Abstract

We report the 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, sofosbuvir, boceprevir, and α-difluoromethylornithine (DMFO). Our results indicate that these small 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.

Subject Areas

Covid-19; proteins; normal-modes; protein-drug interactions; chloroquine; ivermectin; remdesivir; sofosbuvir; boceprevir; α-difluoromethylornithine (DMFO)

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