Searching for target-specific and multi-targeting organics for Covid-19 in the Drugbank database with a double scoring approach.
Ontology highlight
ABSTRACT: The current outbreak of Covid-19 infection due to SARS-CoV-2, a virus from the coronavirus family, has become a major threat to human healthcare. The virus has already infected more than 44 M people and the number of deaths reported has reached more than 1.1 M which may be attributed to lack of medicine. The traditional drug discovery approach involves many years of rigorous research and development and demands for a huge investment which cannot be adopted for the ongoing pandemic infection. Rather we need a swift and cost-effective approach to inhibit and control the viral infection. With the help of computational screening approaches and by choosing appropriate chemical space, it is possible to identify lead drug-like compounds for Covid-19. In this study, we have used the Drugbank datab
SUBMITTER: Murugan NA
PROVIDER: S-EPMC7645721 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA