Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking
Francesco Gentile, Jean Charle Yaacoub, James Gleave, Michael Fernandez, Anh-Tien Ton, Fuqiang Ban, Abraham Stern, Artem Cherkasov
Published: 2022-02-03 DOI: 10.1038/s41596-021-00659-2


























Supplementary information
Supplementary Information
Supplementary Tables 1 and 2, Supplementary Figs. 1 and 2 and Supplementary References.
Reporting Summary
Supplementary Table 3
evaluation.csv file obtained from evaluating different training sizes in one DD iteration, screening the ZINC20 library against the AR dimerization site (PDB ID: 1R4I ; ref. 40) using Glide SP for docking and a recall of 0.90. Validation and test sets comprised 700,000 molecules each.