Drug Repurposing for the Treatment of COVID-19: A Knowledge Graph Approach.

ABSTRACT: Identifying effective drug treatments for COVID-19 is essential to reduce morbidity and mortality. Although a number of existing drugs have been proposed as potential COVID-19 treatments, effective data platforms and algorithms to prioritize drug candidates for evaluation and application of knowledge graph for drug repurposing have not been adequately explored. A COVID-19 knowledge graph by integrating 14 public bioinformatic databases containing information on drugs, genes, proteins, viruses, diseases, symptoms and their linkages is developed. An algorithm is developed to extract hidden linkages connecting drugs and COVID-19 from the knowledge graph, to generate and rank proposed drug candidates for repurposing as treatments for COVID-19 by integrating three scores for each drug: motif sc

SUBMITTER: Yan VKC 

PROVIDER: S-EPMC8212091 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature