Part of the Supporting Information for the manuscript: "Physics- and machine-learning-based method to accurately predict druggable binding sites using SILCS-Hotspots" Erik B. Nordquist, Mingtian Zhao, Anmol Kumar, Alexander D. MacKerell, Jr. Journal of Computational Chemical Informatics (submitted)
mackerell-lab/FDA-compounds-SILCS-Hotspots-SI
SI data repository for the SILCS-Hotspots / druggable sites paper