Table 2 The numbers of given and predicted MF GO-domain associations in thousands (× 103)
From: Computational discovery of direct associations between GO terms and protein domains
Dataset | GO-Domain Associations | MF GO Terms | Domain Entries | ||||||
|---|---|---|---|---|---|---|---|---|---|
Pfam | CATH | SCOP | Pfam | CATH | SCOP | Pfam | CATH | SCOP | |
SIFTS | 31 | 16 | 9.9 | 44 | 22 | 17 | 2.8 | 1.1 | 0.8 |
SIFTS-IEA | 69 | 36 | 23 | 26 | 29 | 23 | 4.8 | 2.0 | 1.5 |
SwissProt | 194 | 72 | 73 | 6.3 | 5.4 | 5.6 | 7.4 | 1.2 | 1.1 |
SwissProt-IEA | 225 | 79 | 79 | 4.8 | 4.2 | 4.3 | 8.1 | 1.4 | 1.2 |
TrEMBL | 215 | 104 | 96 | 4.0 | 3.4 | 3.5 | 7.4 | 1.2 | 1.0 |
TrEMBL-IEA | 756 | 240 | 208 | 6.4 | 5.7 | 5.8 | 13 | 1.6 | 1.4 |
Merged | 917 | 306 | 266 | 7.9 | 7.2 | 7.3 | 14 | 2.5 | 1.8 |
GODomainMiner | 33 | 13 | 9.7 | 6.3 | 4.5 | 4.0 | 8.3 | 2.1 | 1.6 |
InterPro | 4.226 | 0.607 | 0.743 | 1.076 | 0.273 | 0.301 | 3.300 | 0.466 | 0.584 |
Overlap | 3.968 | 0.594 | 0.713 | 1.059 | 0.273 | 0.300 | 3.101 | 0.457 | 0.560 |