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

This article is a reprint of a manuscript written by our research engineer Nazim Medzhidov and CEO Shinya Yuki that was submitted to SAR News No.40, a newsletter published by The Pharmaceutical Society Japan, The Division of Structure-Activity Studies.
If you would like to read the entire article published in SAR News No.40, please click here to access and check it.