TABLE 2.

Number of active compounds, i. e. hits, confirmed with in-vitro testing and hit-rates (ratio of active against tested compounds). The best hit-rate is marked bold. The number of tested compounds is taken from Table 1. Analogous to Table 1, hit counts just include compounds which were submitted for the tested target. For hit counts irrespective of the predicted target, see Supporting Information Section 3. Only teams with non-zero hits are listed in this table.

Hits
	N	Nsp3	Nsp5	Nsp12	S	TMPRSS2	hits	tested	Hit rate [a] %	95% conf-int
jku (8)	-	-	14	0	-	-	14	67	20.9	[11.9–32.6]
kyuken (9)	-	2	0	-	2	-	4	56	7.1	[2.0–17.3]
aiwinter (2)	-	0	1	-	-	-	1	20	5.0	[0.1–24.9]
covid19ddc (5)	-	0	0	1	-	-	1	21	4.8	[0.1–23.8]
deeplab (6)	-	0	0	-	1	-	1	26	3.8	[0.1–19.6]
way2drug (19)	-	1	0	-	-	0	1	36	2.8	[0.1–14.5]
imolecule (7)	0	0	0	1	0	-	1	147	0.7	[0.0–3.7]
All teams	0	3	14 [b]	2	3	0	22 [b]	878	2.5	[1.6–3.8]

^[a]This is the hit rate from the pooled analysis described in this paper. Some teams performed their own analysis with different results (see Supporting Information Section 3).

^[b]One hit was found by two teams.