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. 2023 Jan 6;66(2):1221–1238. doi: 10.1021/acs.jmedchem.2c00775

Table 1. Overview of the In Silico Approach Taken by Each Partner Company, along with the Number of Compounds Furnished from Each Partner.

    number of compounds booster round A/B (actives)b
company and computational approacha total 2-arylpyrimidinec 2-arylquinazolined
A—the top scoring 150 compounds were selected by Tanimoto similarity calculation using the FCFP4 fingerprint, followed by refinement to 96 compounds based on maximized diversity 192 22/11 (9) 2/33 (7)
B—similarity search using Daylight59 and Chemaxon60 fingerprints and ROCS61 TanimotoCombo scoring 119 27/62 (8) 1/5 (5)
C—ECFP4 similarity (Tanimoto cut-off 0.6) and in-house fingerprint search (Tanimoto cut-off 0.7). Subsequent in-house “quality”, commercial availability, and IP filters 176 83/0 (14) 3/81 (25)
D—series of similarity and substructure-based queries prioritized with Tanimoto similarity calculated by ECFP4 182 53/0 (24) 30/3 (24)
E—ECFP4 similarity (initial Tanimoto cut-off 0.7 descending incrementally until sufficient compounds had been identified) 126 0/3 (1) 0/58 (17)
all companies 795 185/76 (56) 36/180 (78)
a

Further information is found in Supporting Information 1.

b

Actives defined as compounds with SI > 5 against one or both parasites.

c

Compounds with a 2-arylpyrimidine core.

d

Compounds with a 2-arylquinazoline core.