An Ensemble Matrix Completion Model for Predicting Potential Drugs Against SARS-CoV-2.

ABSTRACT: Because of the catastrophic outbreak of global coronavirus disease 2019 (COVID-19) and its strong infectivity and possible persistence, computational repurposing of existing approved drugs will be a promising strategy that facilitates rapid clinical treatment decisions and provides reasonable justification for subsequent clinical trials and regulatory reviews. Since the effects of a small number of conditionally marketed vaccines need further clinical observation, there is still an urgent need to quickly and effectively repurpose potentially available drugs before the next disease peak. In this work, we have manually collected a set of experimentally confirmed virus-drug associations through the publicly published database and literature, consisting of 175 drugs and 95 viruses, as well as

SUBMITTER: Li W 

PROVIDER: S-EPMC8334363 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature