CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	MCFold		RSpredict(seed)
MCC	0.460	>	0.281
Average MCC ± 95% Confidence Intervals	0.495 ± 0.080	>	0.235 ± 0.091
Sensitivity	0.478	>	0.137
Positive Predictive Value	0.450	<	0.586
Total TP	783	>	224
Total TN	228881	<	230239
Total FP	1071	>	166
Total FP CONTRA	116	>	10
Total FP INCONS	841	>	148
Total FP COMP	114	>	8
Total FN	854	<	1413
P-value	3.56938820447e-08

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Performance plots

Comparison of performance of MCFold and RSpredict(seed). 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 MCFold and RSpredict(seed)).
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 MCFold and RSpredict(seed)).
Comparison of average Matthews Correlation Coefficients (MCCs) for MCFold and RSpredict(seed). 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 MCFold and RSpredict(seed)).

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Performance of MCFold - scored higher in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP	783
Total TN	228881
Total FP	1071
Total FP CONTRA	116
Total FP INCONS	841
Total FP COMP	114
Total FN	854

Total Scores
MCC	0.460
Average MCC ± 95% Confidence Intervals	0.495 ± 0.080
Sensitivity	0.478
Positive Predictive Value	0.450
Nr of predictions	51

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

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KDQ_B	mir-TAR links to Rfam database...	0.95	0.91	1.00	10	396	1	0	0	1	1
2KE6_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	19	1109	2	0	0	2	0
2KUR_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	21	1107	0	0	0	0	0
2KUU_A	K10_TLS links to Rfam database...	0.98	0.95	1.00	20	1108	1	0	0	1	1
2KUV_A	K10_TLS links to Rfam database...	0.98	0.95	1.00	21	1107	0	0	0	0	1
2KUW_A	K10_TLS links to Rfam database...	0.95	0.95	0.95	20	1107	1	0	1	0	1
2KX8_A	7SK links to Rfam database...	0.91	0.89	0.94	16	844	2	0	1	1	2
2L1F_A	Gammaretro_CES links to Rfam database...	0.72	0.75	0.69	18	2054	9	0	8	1	6
2L1F_B	Gammaretro_CES links to Rfam database...	0.73	0.76	0.70	19	2118	9	0	8	1	6
2L94_A	HIV_FE links to Rfam database...	0.97	0.95	1.00	19	971	0	0	0	0	1
2LC8_A	GP_knot1 links to Rfam database...	0.41	0.45	0.39	9	1517	16	0	14	2	11
2WRQ_Y	tRNA links to Rfam database...	0.27	0.35	0.22	6	2823	25	8	13	4	11
2WWQ_V	tRNA links to Rfam database...	0.15	0.18	0.15	5	2892	30	4	25	1	23
2XKV_B	Bacteria_small_SRP links to Rfam database...	0.20	0.25	0.17	5	4530	37	2	23	12	15
2XQD_Y	tRNA links to Rfam database...	0.34	0.37	0.32	10	2819	22	1	20	1	17
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.23	0.24	0.24	10	5110	32	1	30	1	32
2ZZN_D	tRNA links to Rfam database...	0.61	0.63	0.61	17	2457	13	1	10	2	10
3A2K_C	tRNA links to Rfam database...	0.44	0.46	0.42	13	2895	18	2	16	0	15
3A3A_A	tRNA-Sec links to Rfam database...	0.89	0.86	0.91	32	3620	3	1	2	0	5
3AKZ_H	tRNA links to Rfam database...	0.40	0.43	0.39	12	2670	19	3	16	0	16
3AMU_B	tRNA links to Rfam database...	0.44	0.48	0.42	13	2972	18	2	16	0	14
3GX2_A	SAM links to Rfam database...	0.47	0.48	0.48	19	4331	22	0	21	1	21
3IVN_B	Purine links to Rfam database...	0.39	0.39	0.40	12	2316	18	0	18	0	19
3IZF_C	5S_rRNA links to Rfam database...	0.71	0.69	0.74	37	6853	14	0	13	1	17
3J16_L	tRNA links to Rfam database...	0.45	0.47	0.44	14	2743	19	1	17	1	16
3J20_0	tRNA links to Rfam database...	0.59	0.57	0.63	17	2823	12	1	9	2	13
3J2L_3	5S_rRNA links to Rfam database...	0.58	0.57	0.60	30	7825	23	2	18	3	23
3J3D_C	tRNA links to Rfam database...	0.42	0.43	0.43	12	2747	18	2	14	2	16
3J3E_8	5_8S_rRNA links to Rfam database...	0.12	0.12	0.12	4	7470	46	3	26	17	29
3J3E_7	5S_rRNA links to Rfam database...	0.40	0.39	0.42	21	7090	29	3	26	0	33
3J3F_7	5S_rRNA links to Rfam database...	0.74	0.74	0.74	37	7210	17	2	11	4	13
3J3F_8	5_8S_rRNA links to Rfam database...	0.13	0.17	0.11	6	12191	61	9	40	12	30
3JYV_7	tRNA links to Rfam database...	0.21	0.22	0.21	7	2817	26	0	26	0	25
3JYX_4	5_8S_rRNA links to Rfam database...	0.20	0.24	0.17	8	12199	43	16	23	4	25
3JYX_3	5S_rRNA links to Rfam database...	0.41	0.52	0.33	14	6285	34	12	17	5	13
3LA5_A	Purine links to Rfam database...	0.32	0.32	0.34	11	2453	21	1	20	0	23
3O58_3	5_8S_rRNA links to Rfam database...	0.22	0.26	0.19	9	12355	45	9	30	6	26
3O58_2	5S_rRNA links to Rfam database...	0.20	0.24	0.17	9	7208	44	5	38	1	29
3PDR_A	ykoK links to Rfam database...	0.66	0.61	0.72	44	12819	19	0	17	2	28
3RKF_A	Purine links to Rfam database...	0.70	0.65	0.76	22	2182	7	1	6	0	12
3SD1_A	THF links to Rfam database...	0.33	0.33	0.35	14	3876	26	0	26	0	28
3ZEX_D	5S_rRNA links to Rfam database...	0.17	0.18	0.18	9	6970	42	4	38	0	40
3ZEX_C	5_8S_rRNA links to Rfam database...	0.24	0.21	0.28	11	14156	29	3	26	0	41
3ZND_W	tRNA links to Rfam database...	0.19	0.22	0.18	5	2975	26	1	22	3	18
4A1C_3	5S_rRNA links to Rfam database...	0.68	0.67	0.71	36	7089	17	1	14	2	18
4A1C_2	5_8S_rRNA links to Rfam database...	0.13	0.15	0.11	5	11735	56	10	31	15	28
4ENB_A	crcB links to Rfam database...	0.61	0.63	0.60	12	1255	8	2	6	0	7
4ENC_A	crcB links to Rfam database...	0.28	0.32	0.27	6	1304	17	2	14	1	13
4FRG_B	AdoCbl-variant links to Rfam database...	0.32	0.34	0.31	11	3450	25	0	25	0	21
4FRN_A	AdoCbl-variant links to Rfam database...	0.12	0.14	0.12	5	5110	38	1	35	2	31
4JF2_A	preQ1-II links to Rfam database...	0.66	0.68	0.66	21	2818	11	0	11	0	10

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(seed)

Total Base Pair Counts
Total TP	224
Total TN	230239
Total FP	166
Total FP CONTRA	10
Total FP INCONS	148
Total FP COMP	8
Total FN	1413

Total Scores
MCC	0.281
Average MCC ± 95% Confidence Intervals	0.235 ± 0.091
Sensitivity	0.137
Positive Predictive Value	0.586
Nr of predictions	51

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2. Individual counts for RSpredict(seed) [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KDQ_B	mir-TAR links to Rfam database...	0.85	0.73	1.00	8	398	0	0	0	0	3
2KE6_A	K10_TLS links to Rfam database...	0.83	0.74	0.93	14	1113	2	0	1	1	5
2KUR_A	K10_TLS links to Rfam database...	0.82	0.71	0.94	15	1112	1	0	1	0	6
2KUU_A	K10_TLS links to Rfam database...	0.79	0.67	0.93	14	1113	2	0	1	1	7
2KUV_A	K10_TLS links to Rfam database...	0.80	0.68	0.94	15	1112	1	0	1	0	7
2KUW_A	K10_TLS links to Rfam database...	0.73	0.62	0.87	13	1113	2	0	2	0	8
2KX8_A	7SK links to Rfam database...	0.00	0.00	0.00	0	860	1	0	1	0	18
2L1F_A	Gammaretro_CES links to Rfam database...	0.80	0.75	0.86	18	2059	3	0	3	0	6
2L1F_B	Gammaretro_CES links to Rfam database...	0.85	0.80	0.91	20	2123	2	0	2	0	5
2L94_A	HIV_FE links to Rfam database...	0.57	0.50	0.67	10	975	5	0	5	0	10
2LC8_A	GP_knot1 links to Rfam database...	-0.01	0.00	0.00	0	1527	13	0	13	0	20
2WRQ_Y	tRNA links to Rfam database...	0.00	0.00	0.00	0	2848	3	1	1	1	17
2WWQ_V	tRNA links to Rfam database...	0.00	0.00	0.00	0	2920	6	1	5	0	28
2XKV_B	Bacteria_small_SRP links to Rfam database...	0.28	0.20	0.40	4	4550	8	2	4	2	16
2XQD_Y	tRNA links to Rfam database...	0.00	0.00	0.00	0	2845	5	0	5	0	27
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.34	0.17	0.70	7	5141	3	0	3	0	35
2ZZN_D	tRNA links to Rfam database...	0.43	0.19	1.00	5	2480	0	0	0	0	22
3A2K_C	tRNA links to Rfam database...	0.00	0.00	0.00	0	2924	2	0	2	0	28
3A3A_A	tRNA-Sec links to Rfam database...	0.48	0.30	0.79	11	3641	3	0	3	0	26
3AKZ_H	tRNA links to Rfam database...	0.00	0.00	0.00	0	2699	2	0	2	0	28
3AMU_B	tRNA links to Rfam database...	0.00	0.00	0.00	0	3001	2	0	2	0	27
3GX2_A	SAM links to Rfam database...	0.36	0.15	0.86	6	4364	1	0	1	0	34
3IVN_B	Purine links to Rfam database...	0.69	0.52	0.94	16	2329	1	0	1	0	15
3IZF_C	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	6898	5	0	5	0	54
3J16_L	tRNA links to Rfam database...	0.00	0.00	0.00	0	2774	1	0	1	0	30
3J20_0	tRNA links to Rfam database...	0.00	0.00	0.00	0	2846	4	0	4	0	30
3J2L_3	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	7870	5	0	5	0	53
3J3D_C	tRNA links to Rfam database...	0.00	0.00	0.00	0	2771	4	1	3	0	28
3J3E_8	5_8S_rRNA links to Rfam database...	0.00	0.00	0.00	0	7503	0	0	0	0	33
3J3E_7	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	7132	8	0	8	0	54
3J3F_7	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	7256	4	0	4	0	50
3J3F_8	5_8S_rRNA links to Rfam database...	0.14	0.06	0.33	2	12240	5	1	3	1	34
3JYV_7	tRNA links to Rfam database...	0.00	0.00	0.00	0	2846	4	0	4	0	32
3JYX_4	5_8S_rRNA links to Rfam database...	0.00	0.00	0.00	0	12241	5	0	5	0	33
3JYX_3	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	6323	5	1	4	0	27
3LA5_A	Purine links to Rfam database...	0.70	0.50	1.00	17	2468	0	0	0	0	17
3O58_3	5_8S_rRNA links to Rfam database...	0.23	0.09	0.60	3	12398	2	0	2	0	32
3O58_2	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	7257	3	0	3	0	38
3PDR_A	ykoK links to Rfam database...	0.00	0.00	0.00	0	12872	8	0	8	0	72
3RKF_A	Purine links to Rfam database...	0.71	0.53	0.95	18	2192	1	0	1	0	16
3SD1_A	THF links to Rfam database...	0.00	0.00	0.00	0	3916	0	0	0	0	42
3ZEX_D	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	7019	2	0	2	0	49
3ZEX_C	5_8S_rRNA links to Rfam database...	0.10	0.04	0.25	2	14188	6	1	5	0	50
3ZND_W	tRNA links to Rfam database...	0.00	0.00	0.00	0	3000	4	0	3	1	23
4A1C_3	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	7136	4	1	3	0	54
4A1C_2	5_8S_rRNA links to Rfam database...	0.00	0.00	0.00	0	11777	5	1	3	1	33
4ENB_A	crcB links to Rfam database...	0.30	0.16	0.60	3	1270	2	0	2	0	16
4ENC_A	crcB links to Rfam database...	0.30	0.16	0.60	3	1321	2	0	2	0	16
4FRG_B	AdoCbl-variant links to Rfam database...	0.00	0.00	0.00	0	3484	2	0	2	0	32
4FRN_A	AdoCbl-variant links to Rfam database...	0.00	0.00	0.00	0	5148	3	0	3	0	36
4JF2_A	preQ1-II links to Rfam database...	0.00	0.00	0.00	0	2846	4	0	4	0	31

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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 MCFold - scored higher in this pairwise comparison

1. Total counts & total scores for MCFold

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

Performance of RSpredict(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(seed)

2. Individual counts for RSpredict(seed) [ download as .csv ]