CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	HotKnots		Afold
MCC	0.639	>	0.615
Average MCC ± 95% Confidence Intervals	0.710 ± 0.058	>	0.679 ± 0.063
Sensitivity	0.583	>	0.563
Positive Predictive Value	0.705	>	0.677
Total TP	1447	>	1397
Total TN	385074	>	385064
Total FP	687	<	772
Total FP CONTRA	94	>	89
Total FP INCONS	512	<	577
Total FP COMP	81	<	106
Total FN	1036	<	1086
P-value	3.56938820447e-08

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Performance plots

Comparison of performance of HotKnots and Afold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for HotKnots and Afold).
Comparison of performance of HotKnots and Afold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for HotKnots and Afold).
Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for HotKnots and Afold).
Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for HotKnots and Afold).
Comparison of average Matthews Correlation Coefficients (MCCs) for HotKnots and Afold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for HotKnots and Afold).
Comparison of average Matthews Correlation Coefficients (MCCs) for HotKnots and Afold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for HotKnots and Afold).

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Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP	1447
Total TN	385074
Total FP	687
Total FP CONTRA	94
Total FP INCONS	512
Total FP COMP	81
Total FN	1036

Total Scores
MCC	0.639
Average MCC ± 95% Confidence Intervals	0.710 ± 0.058
Sensitivity	0.583
Positive Predictive Value	0.705
Nr of predictions	101

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2. Individual counts for HotKnots [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2K5Z_A	-	1.00	1.00	1.00	11	395	0	0	0	0	0
2K63_A	-	0.95	0.90	1.00	9	397	0	0	0	0	1
2K66_A	-	0.95	0.90	1.00	9	222	0	0	0	0	1
2KD8_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
2KDQ_B	mir-TAR links to Rfam database...	0.95	0.91	1.00	10	396	0	0	0	0	1
2KE6_A	K10_TLS links to Rfam database...	0.97	0.95	1.00	18	1110	1	0	0	1	1
2KEZ_A	-	0.89	0.80	1.00	8	268	0	0	0	0	2
2KFC_A	-	-0.02	0.00	0.00	0	623	7	0	7	0	20
2KGP_A	-	1.00	1.00	1.00	9	291	1	0	0	1	0
2KMJ_A	-	1.00	1.00	1.00	11	367	0	0	0	0	0
2KPV_A	-	0.96	0.92	1.00	12	549	0	0	0	0	1
2KU0_A	-	0.83	0.69	1.00	11	692	0	0	0	0	5
2KUR_A	K10_TLS links to Rfam database...	0.95	0.90	1.00	19	1109	0	0	0	0	2
2KUU_A	K10_TLS links to Rfam database...	0.92	0.86	1.00	18	1110	1	0	0	1	3
2KUV_A	K10_TLS links to Rfam database...	0.93	0.86	1.00	19	1109	0	0	0	0	3
2KUW_A	K10_TLS links to Rfam database...	0.95	0.90	1.00	19	1109	0	0	0	0	2
2KX8_A	7SK links to Rfam database...	0.94	0.89	1.00	16	845	0	0	0	0	2
2KXM_A	-	0.89	0.80	1.00	8	343	0	0	0	0	2
2KZL_A	-	0.86	0.74	1.00	14	1471	0	0	0	0	5
2L1F_B	Gammaretro_CES links to Rfam database...	0.98	0.96	1.00	24	2121	0	0	0	0	1
2L1F_A	Gammaretro_CES links to Rfam database...	0.98	0.96	1.00	23	2057	0	0	0	0	1
2L2K_A	-	0.94	0.89	1.00	17	844	0	0	0	0	2
2L3C_B	-	0.91	0.82	1.00	14	547	0	0	0	0	3
2L3E_A	-	0.96	0.92	1.00	12	583	1	0	0	1	1
2L3J_B	mir-2985-2 links to Rfam database...	0.94	0.88	1.00	30	2455	0	0	0	0	4
2L5Z_A	-	0.86	0.75	1.00	9	316	0	0	0	0	3
2L94_A	HIV_FE links to Rfam database...	0.97	0.95	1.00	19	971	0	0	0	0	1
2LBS_A	-	1.00	1.00	1.00	14	482	0	0	0	0	0
2LC8_A	GP_knot1 links to Rfam database...	0.61	0.55	0.69	11	1524	5	0	5	0	9
2LDL_A	-	0.90	0.82	1.00	9	342	1	0	0	1	2
2LDT_A	-	0.85	0.73	1.00	11	454	0	0	0	0	4
2LHP_A	-	0.97	0.94	1.00	15	651	0	0	0	0	1
2LI4_A	-	0.93	0.88	1.00	14	482	0	0	0	0	2
2LJJ_A	-	1.00	1.00	1.00	8	343	2	0	0	2	0
2LK3_A	-	0.95	0.90	1.00	9	267	0	0	0	0	1
2LKR_A	-	0.93	0.87	1.00	34	6071	3	0	0	3	5
2LQZ_A	-	0.85	0.82	0.90	9	341	1	1	0	0	2
2LWK_A	-	0.83	0.77	0.91	10	485	1	0	1	0	3
2RP0_A	-	0.64	0.42	1.00	5	346	0	0	0	0	7
2RPT_A	-	1.00	1.00	1.00	7	183	0	0	0	0	0
2WRQ_Y	tRNA links to Rfam database...	0.57	0.59	0.56	10	2832	13	5	3	5	7
2WW9_E	-	0.53	0.29	1.00	4	557	0	0	0	0	10
2WW9_D	-	0.14	0.12	0.19	3	1937	13	0	13	0	23
2WW9_F	-	0.59	0.60	0.60	6	290	4	0	4	0	4
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.34	0.31	0.39	13	5118	20	1	19	0	29
2YIE_X	-	0.36	0.33	0.40	4	1368	6	2	4	0	8
2YIE_Z	-	-0.01	0.00	0.00	0	1525	15	3	12	0	12
2ZY6_A	-	0.58	0.58	0.58	7	691	5	1	4	0	5
2ZZM_B	tRNA links to Rfam database...	0.21	0.19	0.25	6	3462	18	0	18	0	26
2ZZN_D	tRNA links to Rfam database...	0.82	0.78	0.88	21	2461	3	0	3	0	6
3A2K_C	tRNA links to Rfam database...	0.42	0.39	0.46	11	2902	13	2	11	0	17
3A3A_A	tRNA-Sec links to Rfam database...	0.87	0.76	1.00	28	3627	0	0	0	0	9
3ADB_C	-	0.79	0.74	0.85	28	4153	5	0	5	0	10
3AKZ_H	tRNA links to Rfam database...	0.43	0.39	0.48	11	2678	12	2	10	0	17
3AM1_B	-	0.78	0.71	0.86	25	3211	4	0	4	0	10
3DW4_A	-	-0.02	0.00	0.00	0	345	6	0	6	0	10
3G4S_9	5S_rRNA links to Rfam database...	0.50	0.39	0.65	22	7347	12	1	11	0	35
3GCA_A	-	0.54	0.29	1.00	5	523	0	0	0	0	12
3HAY_E	-	0.91	0.83	1.00	15	2263	6	0	0	6	3
3HJW_D	-	0.94	0.89	1.00	16	1637	2	0	0	2	2
3IAB_R	-	0.92	0.86	1.00	12	1023	0	0	0	0	2
3ID5_D	-	0.44	0.33	0.60	3	491	5	0	2	3	6
3IVN_B	Purine links to Rfam database...	0.78	0.61	1.00	19	2327	0	0	0	0	12
3IWN_A	c-di-GMP-I links to Rfam database...	0.63	0.58	0.70	19	4251	9	0	8	1	14
3IYQ_A	tmRNA links to Rfam database...	0.31	0.34	0.29	32	60617	81	22	55	4	62
3IZ4_A	tmRNA links to Rfam database...	0.51	0.47	0.55	62	70763	52	10	41	1	70
3IZF_C	5S_rRNA links to Rfam database...	0.70	0.61	0.80	33	6862	8	1	7	0	21
3J0L_7	-	0.28	0.29	0.29	5	1208	12	0	12	0	12
3J0L_h	-	0.75	0.60	0.93	26	6077	4	0	2	2	17
3J0L_1	-	0.76	0.63	0.92	12	1212	2	0	1	1	7
3J2C_O	-	0.60	0.49	0.74	31	10254	12	0	11	1	32
3JYV_7	tRNA links to Rfam database...	-0.01	0.00	0.00	0	2828	22	1	21	0	32
3JYX_3	5S_rRNA links to Rfam database...	0.62	0.63	0.61	17	6300	22	1	10	11	10
3JYX_4	5_8S_rRNA links to Rfam database...	0.32	0.30	0.33	10	12216	31	5	15	11	23
3KTW_C	-	0.73	0.63	0.84	27	4528	6	2	3	1	16
3LA5_A	Purine links to Rfam database...	0.78	0.62	1.00	21	2464	0	0	0	0	13
3NDB_M	-	0.84	0.74	0.96	45	9133	3	0	2	1	16
3NKB_B	-	0.59	0.54	0.67	14	1995	7	0	7	0	12
3NMU_E	-	0.54	0.50	0.60	3	556	5	0	2	3	3
3NPB_A	SAM links to Rfam database...	0.78	0.65	0.94	30	6989	5	0	2	3	16
3O58_2	5S_rRNA links to Rfam database...	0.71	0.71	0.71	27	7222	12	4	7	1	11
3O58_3	5_8S_rRNA links to Rfam database...	0.23	0.26	0.21	9	12360	34	10	24	0	26
3OVS_D	-	0.96	0.92	1.00	12	549	0	0	0	0	1
3P22_G	-	0.96	0.92	1.00	11	730	0	0	0	0	1
3R4F_A	-	0.96	0.92	1.00	23	2122	0	0	0	0	2
3RKF_A	Purine links to Rfam database...	0.76	0.59	1.00	20	2191	0	0	0	0	14
3SIU_F	-	0.85	0.73	1.00	8	370	0	0	0	0	3
3SN2_B	IRE_II links to Rfam database...	0.96	0.92	1.00	11	395	0	0	0	0	1
3U4M_B	-	0.38	0.32	0.46	12	3134	14	0	14	0	25
3VJR_D	-	0.96	0.92	1.00	12	618	0	0	0	0	1
3W3S_B	tRNA-Sec links to Rfam database...	0.55	0.50	0.61	20	4720	14	1	12	1	20
3ZEX_F	-	0.00	0.00	0.00	0	2617	11	2	9	0	12
3ZEX_H	-	0.18	0.18	0.19	7	9008	30	5	25	0	31
3ZEX_D	5S_rRNA links to Rfam database...	0.78	0.67	0.92	33	6985	3	0	3	0	16
3ZEX_E	-	0.00	0.00	0.00	0	21893	54	4	48	2	77
4A1C_2	5_8S_rRNA links to Rfam database...	0.14	0.15	0.14	5	11745	42	6	25	11	28
4A4U_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
4ATO_G	-	0.61	0.70	0.54	7	515	6	2	4	0	3
4ENB_A	crcB links to Rfam database...	0.89	0.79	1.00	15	1260	0	0	0	0	4
4FNJ_A	-	0.79	0.63	1.00	10	585	0	0	0	0	6
4HXH_A	-	1.00	1.00	1.00	6	319	0	0	0	0	0

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Performance of Afold - scored lower in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP	1397
Total TN	385064
Total FP	772
Total FP CONTRA	89
Total FP INCONS	577
Total FP COMP	106
Total FN	1086

Total Scores
MCC	0.615
Average MCC ± 95% Confidence Intervals	0.679 ± 0.063
Sensitivity	0.563
Positive Predictive Value	0.677
Nr of predictions	101

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2. Individual counts for Afold [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2K5Z_A	-	1.00	1.00	1.00	11	395	0	0	0	0	0
2K63_A	-	0.95	0.90	1.00	9	397	0	0	0	0	1
2K66_A	-	0.95	0.90	1.00	9	222	0	0	0	0	1
2KD8_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
2KDQ_B	mir-TAR links to Rfam database...	0.95	0.91	1.00	10	396	0	0	0	0	1
2KE6_A	K10_TLS links to Rfam database...	0.97	0.95	1.00	18	1110	1	0	0	1	1
2KEZ_A	-	0.89	0.80	1.00	8	268	0	0	0	0	2
2KFC_A	-	-0.02	0.00	0.00	0	622	8	0	8	0	20
2KGP_A	-	1.00	1.00	1.00	9	291	1	0	0	1	0
2KMJ_A	-	1.00	1.00	1.00	11	367	0	0	0	0	0
2KPV_A	-	0.96	0.92	1.00	12	549	0	0	0	0	1
2KU0_A	-	0.86	0.75	1.00	12	691	0	0	0	0	4
2KUR_A	K10_TLS links to Rfam database...	0.95	0.90	1.00	19	1109	0	0	0	0	2
2KUU_A	K10_TLS links to Rfam database...	0.92	0.86	1.00	18	1110	1	0	0	1	3
2KUV_A	K10_TLS links to Rfam database...	0.93	0.86	1.00	19	1109	0	0	0	0	3
2KUW_A	K10_TLS links to Rfam database...	0.95	0.90	1.00	19	1109	0	0	0	0	2
2KX8_A	7SK links to Rfam database...	0.94	0.89	1.00	16	845	0	0	0	0	2
2KXM_A	-	0.89	0.80	1.00	8	343	0	0	0	0	2
2KZL_A	-	0.86	0.74	1.00	14	1471	0	0	0	0	5
2L1F_B	Gammaretro_CES links to Rfam database...	0.96	0.96	0.96	24	2120	1	0	1	0	1
2L1F_A	Gammaretro_CES links to Rfam database...	0.96	0.96	0.96	23	2056	1	0	1	0	1
2L2K_A	-	0.94	0.89	1.00	17	844	0	0	0	0	2
2L3C_B	-	0.91	0.82	1.00	14	547	0	0	0	0	3
2L3E_A	-	0.96	0.92	1.00	12	583	1	0	0	1	1
2L3J_B	mir-2985-2 links to Rfam database...	0.94	0.88	1.00	30	2455	0	0	0	0	4
2L5Z_A	-	0.86	0.75	1.00	9	316	0	0	0	0	3
2L94_A	HIV_FE links to Rfam database...	0.97	0.95	1.00	19	971	0	0	0	0	1
2LBS_A	-	1.00	1.00	1.00	14	482	0	0	0	0	0
2LC8_A	GP_knot1 links to Rfam database...	0.61	0.55	0.69	11	1524	6	0	5	1	9
2LDL_A	-	0.90	0.82	1.00	9	342	1	0	0	1	2
2LDT_A	-	0.85	0.73	1.00	11	454	0	0	0	0	4
2LHP_A	-	0.97	0.94	1.00	15	651	0	0	0	0	1
2LI4_A	-	0.93	0.88	1.00	14	482	0	0	0	0	2
2LJJ_A	-	1.00	1.00	1.00	8	343	2	0	0	2	0
2LK3_A	-	0.95	0.90	1.00	9	267	0	0	0	0	1
2LKR_A	-	0.93	0.87	1.00	34	6071	3	0	0	3	5
2LQZ_A	-	0.85	0.82	0.90	9	341	1	1	0	0	2
2LWK_A	-	0.75	0.69	0.82	9	485	2	0	2	0	4
2RP0_A	-	0.58	0.42	0.83	5	345	1	0	1	0	7
2RPT_A	-	1.00	1.00	1.00	7	183	0	0	0	0	0
2WRQ_Y	tRNA links to Rfam database...	0.57	0.59	0.56	10	2832	13	5	3	5	7
2WW9_E	-	0.47	0.29	0.80	4	556	1	0	1	0	10
2WW9_D	-	0.18	0.15	0.24	4	1936	13	0	13	0	22
2WW9_F	-	0.59	0.60	0.60	6	290	4	0	4	0	4
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.34	0.31	0.39	13	5118	20	1	19	0	29
2YIE_X	-	0.36	0.33	0.40	4	1368	8	2	4	2	8
2YIE_Z	-	-0.01	0.00	0.00	0	1525	16	3	12	1	12
2ZY6_A	-	0.55	0.58	0.54	7	690	6	1	5	0	5
2ZZM_B	tRNA links to Rfam database...	0.21	0.19	0.25	6	3462	18	0	18	0	26
2ZZN_D	tRNA links to Rfam database...	0.80	0.74	0.87	20	2462	3	0	3	0	7
3A2K_C	tRNA links to Rfam database...	0.41	0.39	0.44	11	2901	14	2	12	0	17
3A3A_A	tRNA-Sec links to Rfam database...	0.84	0.70	1.00	26	3629	0	0	0	0	11
3ADB_C	-	0.78	0.74	0.82	28	4152	6	0	6	0	10
3AKZ_H	tRNA links to Rfam database...	0.16	0.14	0.19	4	2680	17	2	15	0	24
3AM1_B	-	0.72	0.66	0.79	23	3211	6	0	6	0	12
3DW4_A	-	-0.02	0.00	0.00	0	344	7	0	7	0	10
3G4S_9	5S_rRNA links to Rfam database...	0.48	0.35	0.67	20	7351	11	1	9	1	37
3GCA_A	-	-0.02	0.00	0.00	0	519	9	0	9	0	17
3HAY_E	-	0.91	0.83	1.00	15	2263	7	0	0	7	3
3HJW_D	-	0.91	0.89	0.94	16	1636	3	0	1	2	2
3IAB_R	-	0.92	0.86	1.00	12	1023	0	0	0	0	2
3ID5_D	-	0.40	0.33	0.50	3	490	6	0	3	3	6
3IVN_B	Purine links to Rfam database...	0.78	0.61	1.00	19	2327	0	0	0	0	12
3IWN_A	c-di-GMP-I links to Rfam database...	0.62	0.58	0.68	19	4250	9	0	9	0	14
3IYQ_A	tmRNA links to Rfam database...	0.31	0.34	0.29	32	60616	82	23	55	4	62
3IZ4_A	tmRNA links to Rfam database...	0.48	0.45	0.51	59	70760	58	11	46	1	73
3IZF_C	5S_rRNA links to Rfam database...	0.66	0.57	0.76	31	6862	10	1	9	0	23
3J0L_7	-	-0.01	0.00	0.00	0	1210	15	1	14	0	17
3J0L_h	-	0.73	0.60	0.90	26	6076	5	0	3	2	17
3J0L_1	-	0.73	0.63	0.86	12	1211	3	0	2	1	7
3J2C_O	-	0.58	0.49	0.69	31	10251	15	1	13	1	32
3JYV_7	tRNA links to Rfam database...	-0.01	0.00	0.00	0	2827	23	1	22	0	32
3JYX_3	5S_rRNA links to Rfam database...	0.54	0.56	0.54	15	6300	24	1	12	11	12
3JYX_4	5_8S_rRNA links to Rfam database...	0.31	0.30	0.31	10	12214	35	5	17	13	23
3KTW_C	-	0.71	0.63	0.82	27	4527	7	2	4	1	16
3LA5_A	Purine links to Rfam database...	0.78	0.62	1.00	21	2464	0	0	0	0	13
3NDB_M	-	0.84	0.74	0.96	45	9133	3	0	2	1	16
3NKB_B	-	0.59	0.54	0.67	14	1995	7	0	7	0	12
3NMU_E	-	-0.01	0.00	0.00	0	553	10	1	7	2	6
3NPB_A	SAM links to Rfam database...	0.74	0.61	0.90	28	6990	5	0	3	2	18
3O58_2	5S_rRNA links to Rfam database...	0.66	0.66	0.66	25	7222	14	4	9	1	13
3O58_3	5_8S_rRNA links to Rfam database...	0.34	0.34	0.34	12	12368	37	2	21	14	23
3OVS_D	-	0.80	0.77	0.83	10	549	2	0	2	0	3
3P22_G	-	0.87	0.83	0.91	10	730	1	0	1	0	2
3R4F_A	-	0.96	0.92	1.00	23	2122	0	0	0	0	2
3RKF_A	Purine links to Rfam database...	0.76	0.59	1.00	20	2191	0	0	0	0	14
3SIU_F	-	0.85	0.73	1.00	8	370	0	0	0	0	3
3SN2_B	IRE_II links to Rfam database...	0.96	0.92	1.00	11	395	0	0	0	0	1
3U4M_B	-	0.38	0.32	0.46	12	3134	14	0	14	0	25
3VJR_D	-	0.96	0.92	1.00	12	618	1	0	0	1	1
3W3S_B	tRNA-Sec links to Rfam database...	0.50	0.45	0.56	18	4721	15	1	13	1	22
3ZEX_F	-	0.00	0.00	0.00	0	2617	12	2	9	1	12
3ZEX_H	-	0.18	0.18	0.18	7	9006	33	6	26	1	31
3ZEX_D	5S_rRNA links to Rfam database...	0.72	0.61	0.86	30	6986	5	0	5	0	19
3ZEX_E	-	0.00	0.00	0.00	0	21892	55	2	51	2	77
4A1C_2	5_8S_rRNA links to Rfam database...	0.14	0.15	0.14	5	11745	43	5	26	12	28
4A4U_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
4ATO_G	-	0.32	0.30	0.38	3	520	6	1	4	1	7
4ENB_A	crcB links to Rfam database...	0.67	0.58	0.79	11	1261	3	1	2	0	8
4FNJ_A	-	0.75	0.63	0.91	10	584	1	0	1	0	6
4HXH_A	-	1.00	1.00	1.00	6	319	1	0	0	1	0

^top

Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.

Table of contents:

Overview

Performance plots

Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

2. Individual counts for HotKnots [ download as .csv ]

Performance of Afold - scored lower in this pairwise comparison

1. Total counts & total scores for Afold

2. Individual counts for Afold [ download as .csv ]