Tested on
|
Methods
|
Prec
|
Sens
|
Spec
|
Acc
|
MCC
|
---|
BNCPCS
|
EPPIC-core
|
0.98
|
0.76
|
0.99
|
0.90
|
0.79
|
|
AvgΣB
|
1.00
|
0.85
|
1.00
|
0.94
|
0.88
|
|
avgΣB*avgNo.B
|
1.00
|
0.83
|
1.00
|
0.93
|
0.86
|
Ponstingl
|
EPPIC-core
|
0.90
|
0.75
|
0.93
|
0.85
|
0.70
|
|
AvgΣB
|
0.94
|
0.83
|
0.96
|
0.90
|
0.80
|
|
avgΣB*avgNo.B
|
0.98
|
0.79
|
0.99
|
0.90
|
0.81
|
|
EPPIC
|
0.92
|
0.90
|
0.87
|
0.89
|
0.76
|
|
PISA
|
0.87
|
0.89
|
0.77
|
0.84
|
0.66
|
Bahadur
|
EPPIC-core
|
0.92
|
0.80
|
0.95
|
0.89
|
0.77
|
|
AvgΣB
|
0.85
|
0.81
|
0.91
|
0.87
|
0.73
|
|
avgΣB*avgNo.B
|
0.89
|
0.80
|
0.94
|
0.88
|
0.75
|
|
EPPIC
|
0.78
|
0.89
|
0.84
|
0.86
|
0.72
|
|
PISA
|
0.65
|
0.89
|
0.69
|
0.77
|
0.57
|
- All of these methods are optimized on the DC dataset. EPPIC-core is the classifier using the number of core residues in interfaces according to the definition in EPPIC. The performance of EPPIC or PISA is borrowed from [17]. The scores of EPPIC and PISA are absent on the BNCPCS dataset.