Prediction of “Aggregation-Prone” Peptides with Hybrid Classification Approach

Table 5

The performance comparison of Aggre_Easy and Aggre_Balance with existing 12 predictors.

Method	Sn (%)	Sp (%)	(%)	MCC	TP	TN	FP	FN
Aggrescan	35.37	79.26	57.32	0.13	445	5210	1363	813
AmyloidMutants	41.65	74.91	58.28	0.14	524	4924	1649	734
Amyloidogenic Pattern	13.99	94.95	54.22	0.12	176	6208	365	1082
Average Packing Density	28.70	84.12	56.41	0.12	361	5529	1044	897
Beta-strand contiguity	33.15	85.62	59.39	0.18	417	5628	945	841
Hexapeptide Conf. Energy	39.27	78.69	58.98	0.15	494	5172	1401	764
NetCSSP	51.27	65.22	58.25	0.12	645	4287	2286	613
PaFigure	51.75	71.43	61.59	0.18	651	4695	1878	607
SecStr	11.37	94.40	52.88	0.09	143	6205	368	1115
Tango	13.67	95.57	54.62	0.14	172	6282	291	1086
Waltz	56.44	65.42	60.93	0.16	710	4300	2273	548
AMYLPRED	32.99	86.23	59.61	0.19	415	5668	905	843
AMYLPRED2	39.27	84.48	61.88	0.22	494	5553	1020	764
Aggre_Easy	79.46	74.43	76.95	0.42	1000	4892	1681	258
Aggre_Balance	70.32	80.70	75.51	0.42	885	5304	1269	373