• Corpus ID: 219573356

Predicting inhibitors for SARS-CoV-2 RNA-dependent RNA polymerase using machine learning and virtual screening

@article{Cozac2020PredictingIF,
  title={Predicting inhibitors for SARS-CoV-2 RNA-dependent RNA polymerase using machine learning and virtual screening},
  author={R. M. M. Cozac and Nazim Medzhidov and Shinya Yuki Elix and Inc. and Tokyo and Japan.},
  journal={arXiv: Quantitative Methods},
  year={2020}
}
Global coronavirus disease pandemic (COVID-19) caused by newly identified SARS- CoV-2 coronavirus continues to claim the lives of thousands of people worldwide. The unavailability of specific medications to treat COVID-19 has led to drug repositioning efforts using various approaches, including computational analyses. Such analyses mostly rely on molecular docking and require the 3D structure of the target protein to be available. In this study, we utilized a set of machine learning algorithms… 

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