TY - JOUR
T1 - COVID19 Drug Repository
T2 - Text-mining the literature in search of putative COVID19 therapeutics
AU - Tworowski, Dmitry
AU - Gorohovski, Alessandro
AU - Mukherjee, Sumit
AU - Carmi, Gon
AU - Levy, Eliad
AU - Detroja, Rajesh
AU - Mukherjee, Sunanda Biswas
AU - Frenkel-Morgenstern, Milana
N1 - Publisher Copyright:
© 2021 The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2021/1/8
Y1 - 2021/1/8
N2 - 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 data navigation, text-mining, clustering, classification, analysis, and reasoning. Thus, our COVID19 Drug Repository represents a modular platform for drug data navigation and analysis, with an emphasis on COVID-19-related information currently being reported. The COVID19 Drug Repository enables users to focus on different levels of complexity, starting from general information about (FDA-) approved drugs, PubMed references, clinical trials, recipes as well as the descriptions of molecular mechanisms of drugs' action. Our COVID19 drug repository provide a most updated world-wide collection of drugs that has been repurposed for COVID19 treatments around the world.
AB - 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 data navigation, text-mining, clustering, classification, analysis, and reasoning. Thus, our COVID19 Drug Repository represents a modular platform for drug data navigation and analysis, with an emphasis on COVID-19-related information currently being reported. The COVID19 Drug Repository enables users to focus on different levels of complexity, starting from general information about (FDA-) approved drugs, PubMed references, clinical trials, recipes as well as the descriptions of molecular mechanisms of drugs' action. Our COVID19 drug repository provide a most updated world-wide collection of drugs that has been repurposed for COVID19 treatments around the world.
UR - http://www.scopus.com/inward/record.url?scp=85099068364&partnerID=8YFLogxK
U2 - 10.1093/nar/gkaa969
DO - 10.1093/nar/gkaa969
M3 - Article
C2 - 33166390
AN - SCOPUS:85099068364
SN - 0305-1048
VL - 49
SP - D1113-D1121
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -
