CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	Fold		RSpredict(seed)
MCC	0.658	>	0.444
Average MCC ± 95% Confidence Intervals	0.700 ± 0.089	>	0.226 ± 0.092
Sensitivity	0.687	>	0.304
Positive Predictive Value	0.632	<	0.652
Total TP	1131	>	501
Total TN	550152	<	551174
Total FP	901	>	349
Total FP CONTRA	181	>	51
Total FP INCONS	478	>	216
Total FP COMP	242	>	82
Total FN	516	<	1146
P-value	3.56938820447e-08

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Performance plots

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

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Performance of Fold - scored higher in this pairwise comparison

1. Total counts & total scores for Fold

Total Base Pair Counts
Total TP	1131
Total TN	550152
Total FP	901
Total FP CONTRA	181
Total FP INCONS	478
Total FP COMP	242
Total FN	516

Total Scores
MCC	0.658
Average MCC ± 95% Confidence Intervals	0.700 ± 0.089
Sensitivity	0.687
Positive Predictive Value	0.632
Nr of predictions	48

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

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KUR_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	19	448	0	0	0	0	0
2KUU_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	18	429	1	0	0	1	0
2KUV_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	19	420	0	0	0	0	0
2KUW_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	18	452	1	0	0	1	0
2KX8_A	7SK links to Rfam database...	1.00	1.00	1.00	16	355	0	0	0	0	0
2L1F_A	Gammaretro_CES links to Rfam database...	0.91	0.91	0.91	21	740	2	0	2	0	2
2L1F_B	Gammaretro_CES links to Rfam database...	0.91	0.92	0.92	22	767	2	0	2	0	2
2L94_A	HIV_FE links to Rfam database...	1.00	1.00	1.00	18	339	1	0	0	1	0
2LC8_A	GP_knot1 links to Rfam database...	-0.03	0.00	0.00	0	513	15	3	12	0	18
2WWQ_V	tRNA links to Rfam database...	0.97	0.95	1.00	18	1186	3	0	0	3	1
2XKV_B	Bacteria_small_SRP links to Rfam database...	0.64	0.73	0.57	8	1821	26	0	6	20	3
2XQD_Y	tRNA links to Rfam database...	0.98	0.95	1.00	20	1109	1	0	0	1	1
2XXA_G	Bacteria_small_SRP links to Rfam database...	1.00	1.00	1.00	35	2010	1	0	0	1	0
3AKZ_H	tRNA links to Rfam database...	1.00	1.00	1.00	20	1107	2	0	0	2	0
3AMU_B	tRNA links to Rfam database...	0.73	0.79	0.68	15	1135	10	0	7	3	4
3IYQ_A	tmRNA links to Rfam database...	0.24	0.33	0.18	17	22345	95	40	38	17	34
3IZ4_A	tmRNA links to Rfam database...	0.60	0.61	0.59	58	25437	47	16	25	6	37
3IZF_C	5S_rRNA links to Rfam database...	0.87	0.89	0.86	31	2604	8	0	5	3	4
3J16_L	tRNA links to Rfam database...	0.76	0.76	0.76	16	1138	5	0	5	0	5
3J20_0	tRNA links to Rfam database...	0.54	0.57	0.52	12	1196	12	3	8	1	9
3J20_2	SSU_rRNA_archaea links to Rfam database...	0.55	0.58	0.53	239	421918	270	31	180	59	173
3J20_1	tRNA links to Rfam database...	1.00	1.00	1.00	20	1092	1	0	0	1	0
3J2L_3	5S_rRNA links to Rfam database...	0.80	0.82	0.78	28	2984	12	1	7	4	6
3J3D_C	tRNA links to Rfam database...	0.47	0.53	0.43	10	945	13	5	8	0	9
3J3E_7	5S_rRNA links to Rfam database...	0.59	0.59	0.61	20	2708	15	2	11	2	14
3J3E_8	5_8S_rRNA links to Rfam database...	-0.01	0.00	0.00	0	2719	34	5	18	11	15
3J3F_8	5_8S_rRNA links to Rfam database...	0.32	0.42	0.25	8	4729	41	12	12	17	11
3J3F_7	5S_rRNA links to Rfam database...	0.94	0.94	0.94	34	2898	4	1	1	2	2
3NPB_A	SAM links to Rfam database...	0.77	0.73	0.82	27	2245	11	0	6	5	10
3O58_3	5_8S_rRNA links to Rfam database...	0.39	0.50	0.31	11	4728	41	9	16	16	11
3O58_2	5S_rRNA links to Rfam database...	0.86	0.87	0.84	27	2722	12	0	5	7	4
3PDR_A	ykoK links to Rfam database...	0.93	0.92	0.94	46	4791	5	1	2	2	4
3RKF_A	Purine links to Rfam database...	0.91	0.83	1.00	20	846	0	0	0	0	4
3SD1_A	THF links to Rfam database...	0.68	0.69	0.69	20	1504	9	4	5	0	9
3UZL_B	tRNA links to Rfam database...	1.00	1.00	1.00	16	1277	8	0	0	8	0
3W1K_J	tRNA-Sec links to Rfam database...	0.97	0.97	0.97	30	1647	1	1	0	0	1
3W3S_B	tRNA-Sec links to Rfam database...	0.94	0.91	0.97	30	1958	2	0	1	1	3
3ZEX_C	5_8S_rRNA links to Rfam database...	0.28	0.34	0.23	10	5330	46	9	25	12	19
3ZEX_D	5S_rRNA links to Rfam database...	0.90	0.86	0.94	30	2764	8	0	2	6	5
3ZND_W	tRNA links to Rfam database...	0.24	0.38	0.16	3	1172	25	9	7	9	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.19	0.25	0.15	5	4482	43	11	18	14	15
4A1C_3	5S_rRNA links to Rfam database...	0.86	0.84	0.89	31	2728	7	0	4	3	6
4AOB_A	SAM links to Rfam database...	0.60	0.59	0.63	17	1410	11	4	6	1	12
4ENB_A	crcB links to Rfam database...	0.37	0.33	0.45	5	461	7	0	6	1	10
4ENC_A	crcB links to Rfam database...	0.36	0.33	0.42	5	484	8	0	7	1	10
4FRG_B	AdoCbl-variant links to Rfam database...	0.22	0.25	0.23	6	1176	20	7	13	0	18
4FRN_A	AdoCbl-variant links to Rfam database...	0.46	0.46	0.46	13	1820	15	7	8	0	15
4JF2_A	preQ1-II links to Rfam database...	0.89	0.79	1.00	19	1063	0	0	0	0	5

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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	501
Total TN	551174
Total FP	349
Total FP CONTRA	51
Total FP INCONS	216
Total FP COMP	82
Total FN	1146

Total Scores
MCC	0.444
Average MCC ± 95% Confidence Intervals	0.226 ± 0.092
Sensitivity	0.304
Positive Predictive Value	0.652
Nr of predictions	48

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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
2KUR_A	K10_TLS links to Rfam database...	0.86	0.79	0.94	15	451	1	0	1	0	4
2KUU_A	K10_TLS links to Rfam database...	0.85	0.78	0.93	14	432	2	0	1	1	4
2KUV_A	K10_TLS links to Rfam database...	0.85	0.79	0.94	15	423	1	0	1	0	4
2KUW_A	K10_TLS links to Rfam database...	0.75	0.67	0.86	12	456	3	0	2	1	6
2KX8_A	7SK links to Rfam database...	-0.01	0.00	0.00	0	370	1	0	1	0	16
2L1F_A	Gammaretro_CES links to Rfam database...	0.81	0.78	0.86	18	742	3	0	3	0	5
2L1F_B	Gammaretro_CES links to Rfam database...	0.87	0.83	0.91	20	769	2	0	2	0	4
2L94_A	HIV_FE links to Rfam database...	0.55	0.50	0.64	9	343	6	0	5	1	9
2LC8_A	GP_knot1 links to Rfam database...	-0.03	0.00	0.00	0	515	13	0	13	0	18
2WWQ_V	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1199	6	0	5	1	19
2XKV_B	Bacteria_small_SRP links to Rfam database...	0.38	0.36	0.40	4	1825	8	4	2	2	7
2XQD_Y	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1124	5	0	5	0	21
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.37	0.20	0.70	7	2035	3	0	3	0	28
3AKZ_H	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1125	2	0	2	0	20
3AMU_B	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1155	2	0	2	0	19
3IYQ_A	tmRNA links to Rfam database...	0.16	0.10	0.26	5	22421	21	10	4	7	46
3IZ4_A	tmRNA links to Rfam database...	0.26	0.11	0.63	10	25520	7	2	4	1	85
3IZF_C	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2635	5	0	5	0	35
3J16_L	tRNA links to Rfam database...	0.00	0.00	0.00	0	1158	1	0	1	0	21
3J20_0	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1215	4	0	4	0	21
3J20_2	SSU_rRNA_archaea links to Rfam database...	0.77	0.76	0.78	312	421966	152	18	72	62	100
3J20_1	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1108	5	0	4	1	20
3J2L_3	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	3015	5	0	5	0	34
3J3D_C	tRNA links to Rfam database...	-0.01	0.00	0.00	0	964	4	1	3	0	19
3J3E_7	5S_rRNA links to Rfam database...	-0.01	0.00	0.00	0	2733	8	1	7	0	34
3J3E_8	5_8S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2742	0	0	0	0	15
3J3F_8	5_8S_rRNA links to Rfam database...	0.19	0.11	0.33	2	4755	5	3	1	1	17
3J3F_7	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2930	4	1	3	0	36
3NPB_A	SAM links to Rfam database...	-0.01	0.00	0.00	0	2274	4	0	4	0	37
3O58_3	5_8S_rRNA links to Rfam database...	0.28	0.14	0.60	3	4759	2	0	2	0	19
3O58_2	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2751	3	0	3	0	31
3PDR_A	ykoK links to Rfam database...	0.00	0.00	0.00	0	4832	8	0	8	0	50
3RKF_A	Purine links to Rfam database...	0.84	0.75	0.95	18	847	1	1	0	0	6
3SD1_A	THF links to Rfam database...	0.00	0.00	0.00	0	1533	0	0	0	0	29
3UZL_B	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1287	6	3	3	0	16
3W1K_J	tRNA-Sec links to Rfam database...	0.57	0.35	0.92	11	1666	1	0	1	0	20
3W3S_B	tRNA-Sec links to Rfam database...	0.45	0.36	0.57	12	1968	10	1	8	1	21
3ZEX_C	5_8S_rRNA links to Rfam database...	0.13	0.07	0.25	2	5366	6	2	4	0	27
3ZEX_D	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2794	2	0	2	0	35
3ZND_W	tRNA links to Rfam database...	0.00	0.00	0.00	0	1189	4	0	2	2	8
4A1C_2	5_8S_rRNA links to Rfam database...	0.00	0.00	0.00	0	4512	5	2	2	1	20
4A1C_3	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2759	4	2	2	0	37
4AOB_A	SAM links to Rfam database...	0.42	0.21	0.86	6	1430	1	0	1	0	23
4ENB_A	crcB links to Rfam database...	0.34	0.20	0.60	3	467	2	0	2	0	12
4ENC_A	crcB links to Rfam database...	0.34	0.20	0.60	3	491	2	0	2	0	12
4FRG_B	AdoCbl-variant links to Rfam database...	-0.01	0.00	0.00	0	1200	2	0	2	0	24
4FRN_A	AdoCbl-variant links to Rfam database...	0.00	0.00	0.00	0	1845	3	0	3	0	28
4JF2_A	preQ1-II links to Rfam database...	-0.01	0.00	0.00	0	1078	4	0	4	0	24

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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 Fold - scored higher in this pairwise comparison

1. Total counts & total scores for Fold

2. Individual counts for Fold [ 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 ]