COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics.
Ontology highlight
ABSTRACT: The recent outbreak of COVID-19 has generated an enormous amount of Big Data. To date, the COVID-19 Open Research Dataset (CORD-19), lists ∼130,000 articles from the WHO COVID-19 database, PubMed Central, medRxiv, and bioRxiv, as collected by Semantic Scholar. According to LitCovid (11 August 2020), ∼40,300 COVID19-related articles are currently listed in PubMed. It has been shown in clinical settings that the analysis of past research results and the mining of available data can provide novel opportunities for the successful application of currently approved therapeutics and their combinations for the treatment of conditions caused by a novel SARS-CoV-2 infection. As such, effective responses to the pandemic require the development of efficient applications, methods and algorithms for dat
SUBMITTER: Tworowski D
PROVIDER: S-EPMC7778969 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
ACCESS DATA