Ebola Virus Disease (EVD) is a serious infection with a substantial mortality rate, that is a type of viral hemorrhagic fever that substantially damages blood vessels (causing hemorrhaging), causes neurological disorders, and severe vomiting. Four different Ebola strains have been identified that are able to infect humans. The search and identification of new treatment pharmaceuticals is continuous and ongoing. This study examines 20 compounds that have been shown to inhibit Ebola virus in previous studies. The molecular properties and drug-likeness for each compound is determined and compared among these 20 compounds. This study, utilizing summary statistics and pattern recognition methods, produced a screening-type process by which other similar compounds could be identified for further study. Pattern recognition methods such as neighbor-joining cluster analysis, 95% ellipses, and box plots are utilized to identify underlying relationships among these 20 compounds that are based on their molecular properties. Over all, this study provides a pathway to identify additional new and effective pharmaceuticals for the treatment of EVD. Multiple regression analysis of their molecular properties produced a formula to enable the design of additional effective compounds. The identification and study of new and effective antivirals for the treatment of EVD is a necessary and a vital objective.
*Ronald Bartzatt (Thu,) studied this question.