  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 {\alpha}-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.
