An efficient algorithm for protein structure comparison using elastic shape analysis

Table 2 Performance measures of 100 proteins dataset from ESA, CE and jFATCAT methods at class level with computational time

Method/levels	Time (hours) for N×N comparison	Measure	Spectral K-means	K-means	Fuzzy C-means
CE	126.18	Precision	0.9600	0.8622	0.7141
		Recall	0.9333	0.7573	0.9792
		F-measure	0.9465	0.8064	0.8259
		RI	0.9694	0.9538	0.9226
jFACTCAT	019.14	Precision	0.6653	0.4929	0.5058
		Recall	0.6043	0.5019	0.6741
		F measure	0.6333	0.4974	0.5780
		RI	0.8554	0.8430	0.8154
Original ESA	020.40	Precision	0.8396	0.5075	0.4812
		Recall	0.7563	0.7744	0.6347
		F measure	0.7957	0.6132	0.5474
		RI	0.9420	0.8248	0.8032
ESA-MC-BB	002.20	Precision	0.7767	0.5523	0.5710
		Recall	0.9275	0.6277	0.5232
		F measure	0.8454	0.5876	0.5461
		RI	0.9359	0.8440	0.8338
ESA-MC-BB + HP	002.20	Precision	0.9168	0.5058	0.5699
		Recall	0.8400	0.7925	0.5307
		F measure	0.8767	0.6175	0.5496
		RI	0.9557	0.8298	0.8369
ESA-MC-BB + POL	002.20	Precision	0.8974	0.5416	0.5576
		Recall	0.8165	0.6000	0.5088
		F measure	0.8551	0.5693	0.5321
		RI	0.9444	0.8159	0.8322
ESA-CA	002.20	Precision	0.8572	0.5075	0.5322
		Recall	0.7621	0.7744	0.4800
		F measure	0.8069	0.6132	0.5048
		RI	0.9364	0.8961	0.8234
ESA-CA + HP	002.20	Precision	0.8495	0.7588	0.5576
		Recall	0.7525	0.6997	0.5088
		F measure	0.7981	0.7281	0.5321
		RI	0.9411	0.9020	0.8322
ESA-CA + POL	002.20	Precision	0.8572	0.5058	0.5205
		Recall	0.7621	0.7925	0.4672
		F measure	0.8069	0.6175	0.4924
		RI	0.9297	0.8388	0.8194

ISSN: 1748-7188