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. 2019 Aug 20;14(8):e0220113. doi: 10.1371/journal.pone.0220113

Table 2. Ligand-only CNN models that achieved high AUC (greater than 0.9) for COMT.

Test set Model trained by AUC Sequence similarity*
COMT (Methyltransferase) ADA (Adenosine deaminase) 0.934 11/21
CASP3 (Caspase-3) 0.952 No Match
CP3A4(Cytochrome P450) 0.901 8/23
DEF (Peptide Deformylase) 0.950 No Match
GRIA2(Glutamate receptor) 0.926 No Match
HIVINT (HIV integrase) 0.998 3/8
HMDH (HMG-CoA reductase) 0.930 11/33
HS90A (Hot shock protein) 0.994 5/14
INHA (Mycobacterium tuberculosis enoyl reductase) 0.964 8/32
PPARG (Peroxisome proliferator-activated receptor) 0.951 15/54
THB (Thyroid hormone receptor) 0.910 No Match

*From the NCBI BLASTp program using the default parameters. x/y is the sequence identity, where x is the number of identical amino acids in the local alignment and y is the total number of amino acids in the local alignment. “No Match” means no alignment was possible for the two sequences. All 11 targets are not homologous to COMT based on a 30% sequence similarity threshold.