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. 2004 Jul 7;32(12):3522–3530. doi: 10.1093/nar/gkh684

Table 2. Different methods and different gold standardsa.

Assignment used for training Data set used for evaluation Correctly predicted one-domain (random) Correctly predicted two-domains (random) Linker position for two-domain proteins (equal split)
SCOP set_SCOP 49% (83%) 49% (15%) 50% (42%)
SCOP set_CATH 69% (88%) 44% (11%) 40% (27%)
SCOP set_Jones 42% (76%) 58% (18%) 53% (49%)
CATH set_SCOP 58% (88%) 54% (10%) 49% (52%)
CATH set_CATH 52% (88%) 53% (14%) 58% (47%)
CATH set_Jones 42% (76%) 59% (18%) 53% (53%)
SCOP+CATH set_SCOP 73% (88%) 40% (10%) 46%(44%)
SCOP+CATH set_CATH 73% (88%) 41% (10%) 47% (39%)
SCOP+CATH set_Jones 60% (76%) 50% (18%) 51% (43%)
PrISM set_PrISM 63% (63%) 55% (24%) 48% (30%)
PrISM set_Jones 52% (76%) 52% (18%) 42% (53%)
DomSSEAb set_Jones 82% (76%) 46% (17%) 49% (49%)
DGS-Mb set_Jones 100% (76%) 0% (17%) 46% (49%)

aThe leftmost column distinguishes different versions of CHOPnet (trained on SCOP, CATH, SCOP+CATH and PrISM), and previously published methods [DomSSEA (47) and DGS-M (43)]. The second column identifies different test sets [set_Jones taken from (47)], the third and fourth the accuracy in predicting the number of domains (values in brackets give random predictions), and the last column the percentage of linker regions for two-domain proteins predicted within 20 residues of the observation (values in brackets mark performance of equal split).

bAll values taken directly from a previous publication (47).