Table 2.

Overview of the Stage 2: Binding pose prediction submissions. 5 sets of predictions were submitted for Stage 2. The first, second, third and fourth columns correspond to the submission identification number (SID), the affiliation of the participants, the method’s name and the list of software used

SID	Participant Affiliation	Method Name	Method category	Software used
77	Molecular Modeling Section Lab (Prof. Stefano Moro) University of Padova, Italy	HT-SuMD	Other, (MD)	MOE 2019.01 Acemd3 VMD Python 3.6 scikit-learn 0.21.3 AmberTools 2016
75	Acellera	rDock-rDeep	Docking, ML	rdkit 2018.03.4 HTMD Playmolecule proteinPrepare rDock rDeep v0
64	Not provided	2d feature model	Docking	Smina
79	The University of Tokyo, Japan SHaLX Inc.	Template docking	Docking	Molegro Virtual Docker (7.0.0)
80	Institut de Chimie des Substances Naturelles, CNRS, Gif-sur-Yvette, France	ranking_stage2	Docking	Schrodinger LigPrep v48012 CACTVS Chemoinformatics Toolkit V3.4.6.26 CORINA v4.2.0 CCDC GOLD v5.7.1 (CSDS-2019-1)