Improving protein order-disorder classification using charge-hydropathy plots

BMC Bioinformatics

Table 1 The Order versus Disorder Prediction Performances of 19 Hydropathy Scales.

Scales	Sens	Spec	Bal. Acc	AUC
Guy	0.70 ± 0.16	0.97 ± 0.02	0.84 ± 0.09	0.90 ± 0.06
Miyazawa	0.70 ± 0.15	0.96 ± 0.02	0.83 ± 0.09	0.90 ± 0.11
Manavalan	0.70 ± 0.15	0.96 ± 0.03	0.83 ± 0.09	0.90 ± 0.07
Sweet	0.69 ± 0.14	0.97 ± 0.02	0.83 ± 0.09	0.91 ± 0.07
Fauchere	0.68 ± 0.13	0.97 ± 0.02	0.83 ± 0.08	0.88 ± 0.07
Rose	0.67 ± 0.17	0.97 ± 0.02	0.82 ± 0.09	0.91 ± 0.06
Black	0.64 ± 0.09	0.97 ± 0.02	0.81 ± 0.06	0.88 ± 0.06
Woods	0.61 ± 0.15	0.97 ± 0.03	0.79 ± 0.09	0.88 ± 0.06
Breese	0.64 ± 0.12	0.95 ± 0.04	0.80 ± 0.08	0.87 ± 0.08
Leo	0.61 ± 0.12	0.96 ± 0.03	0.79 ± 0.08	0.86 ± 0.08
Kyte-Doolittle	0.61 ± 0.16	0.96 ± 0.03	0.79 ± 0.09	0.87 ± 0.10
Roseman	0.56 ± 0.16	0.96 ± 0.02	0.76 ± 0.09	0.86 ± 0.08
Chothia	0.55 ± 0.13	0.96 ± 0.03	0.76 ± 0.08	0.88 ± 0.05
Argos	0.54 ± 0.10	0.97 ± 0.03	0.76 ± 0.06	0.85 ± 0.06
Janin	0.52 ± 0.16	0.96 ± 0.02	0.74 ± 0.09	0.86 ± 0.06
Tanford	0.49 ± 0.14	0.96 ± 0.03	0.73 ± 0.08	0.86 ± 0.09
Eisenberg	0.48 ± 0.19	0.96 ± 0.03	0.72 ± 0.11	0.85 ± 0.05
Welling	0.40 ± 0.14	0.97 ± 0.03	0.69 ± 0.09	0.79 ± 0.07
Wolfenden	0.36 ± 0.11	0.97 ± 0.02	0.67 ± 0.07	0.79 ± 0.06

For equations and explanations, see the Methods section at the end of this manuscript:
Sens: Sensitivity
Spec: Specificity
Bal. Acc: Balanced accuracy (average of sensitivity and specificity)
AUC: Area under the curve

ISSN: 1471-2105