Maxim V. Kuleshov, Daniel J. Stein, Daniel J. B. Clarke, Eryk Kropiwnicki, Kathleen M. Jagodnik, Alon Bartal, J. E. Evangelista, Jason Hom, Minxuan Cheng, Allison Bailey, A. Zhou, L. Ferguson, Alexander Lachmann, Avi Ma’ayan
Patterns, 2020
Summary In a short period, many research publications that report sets of experimentally validated drugs as potential COVID-19 therapies have emerged. To organize this accumulating knowledge, we developed the COVID-19 Drug and Gene Set Library (https://amp.pharm.mssm.edu/covid19/), a collection of drug and gene sets related to COVID-19 research from multiple sources. The platform enables users to view, download, analyze, visualize, and contribute drug and gene sets related to COVID-19 research. To evaluate the content of the library, we compared the results from six in vitro drug screens for COVID-19 repurposing candidates. Surprisingly, we observe low overlap across screens while highlighting overlapping candidates that should receive more attention as potential therapeutics for COVID-19. Overall, the COVID-19 Drug and Gene Set Library can be used to identify community consensus, make researchers and clinicians aware of new potential therapies, enable machine-learning applications, and facilitate the research community to work together toward a cure.
Cited by 24 publications.
Field of study: Computer Science