CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	IPknot		Vsfold4
MCC	0.650	>	0.505
Average MCC ± 95% Confidence Intervals	0.700 ± 0.080	>	0.607 ± 0.089
Sensitivity	0.554	>	0.424
Positive Predictive Value	0.769	>	0.610
Total TP	681	>	521
Total TN	155567	<	155599
Total FP	236	<	360
Total FP CONTRA	23	<	27
Total FP INCONS	182	<	306
Total FP COMP	31	>	27
Total FN	549	<	709
P-value	3.56938820447e-08

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Performance plots

Comparison of performance of IPknot and Vsfold4. 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 IPknot and Vsfold4).
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 IPknot and Vsfold4).
Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and Vsfold4. 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 IPknot and Vsfold4).

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP	681
Total TN	155567
Total FP	236
Total FP CONTRA	23
Total FP INCONS	182
Total FP COMP	31
Total FN	549

Total Scores
MCC	0.650
Average MCC ± 95% Confidence Intervals	0.700 ± 0.080
Sensitivity	0.554
Positive Predictive Value	0.769
Nr of predictions	49

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

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2LBS_A	-	1.00	1.00	1.00	14	482	0	0	0	0	0
2LC8_A	GP_knot1 links to Rfam database...	0.40	0.30	0.55	6	1529	5	1	4	0	14
2LDL_A	-	0.90	0.82	1.00	9	342	0	0	0	0	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	-	0.84	0.77	0.91	30	6072	4	0	3	1	9
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
2YIE_Z	-	0.43	0.42	0.45	5	1529	6	3	3	0	7
2YIE_X	-	0.67	0.58	0.78	7	1369	3	1	1	1	5
3AMU_B	tRNA links to Rfam database...	0.70	0.59	0.84	16	2984	5	0	3	2	11
3J0L_7	-	-0.01	0.00	0.00	0	1218	7	0	7	0	17
3J0L_g	-	-0.01	0.00	0.00	0	461	4	1	3	0	4
3J0L_2	-	0.39	0.36	0.43	12	6188	18	2	14	2	21
3J0L_a	-	0.21	0.19	0.25	3	1116	9	1	8	0	13
3J0L_8	-	0.93	0.88	1.00	7	183	0	0	0	0	1
3J0L_1	-	0.76	0.63	0.92	12	1212	2	0	1	1	7
3J0L_h	-	0.78	0.60	1.00	26	6079	2	0	0	2	17
3J16_L	tRNA links to Rfam database...	0.75	0.57	1.00	17	2758	0	0	0	0	13
3J20_1	tRNA links to Rfam database...	0.96	0.91	1.00	21	2905	0	0	0	0	2
3J20_0	tRNA links to Rfam database...	0.45	0.40	0.52	12	2827	12	0	11	1	18
3J2C_O	-	0.82	0.67	1.00	42	10254	1	0	0	1	21
3J2L_3	5S_rRNA links to Rfam database...	0.66	0.55	0.81	29	7839	9	0	7	2	24
3RKF_A	Purine links to Rfam database...	0.76	0.59	1.00	20	2191	0	0	0	0	14
3SD1_A	THF links to Rfam database...	0.61	0.48	0.80	20	3891	5	0	5	0	22
3SIU_F	-	0.73	0.55	1.00	6	372	0	0	0	0	5
3SN2_B	IRE_II links to Rfam database...	0.96	0.92	1.00	11	395	0	0	0	0	1
3TRZ_Z	-	0.91	0.83	1.00	5	205	1	0	0	1	1
3TS0_U	-	1.00	1.00	1.00	6	247	1	0	0	1	0
3TS2_V	-	1.00	1.00	1.00	5	271	0	0	0	0	0
3U4M_B	-	0.68	0.54	0.87	20	3137	3	1	2	0	17
3UZL_B	tRNA links to Rfam database...	0.72	0.54	0.95	20	3549	1	0	1	0	17
3VJR_D	-	0.96	0.92	1.00	12	618	0	0	0	0	1
3W3S_B	tRNA-Sec links to Rfam database...	0.85	0.75	0.97	30	4722	2	0	1	1	10
3ZEX_G	-	0.70	0.61	0.82	45	16416	14	1	9	4	29
3ZEX_D	5S_rRNA links to Rfam database...	0.72	0.63	0.82	31	6983	7	0	7	0	18
3ZEX_E	-	0.00	0.00	0.00	0	21894	53	4	47	2	77
4A1C_2	5_8S_rRNA links to Rfam database...	0.17	0.15	0.19	5	11755	26	4	17	5	28
4A1C_3	5S_rRNA links to Rfam database...	0.69	0.57	0.84	31	7103	6	1	5	0	23
4A4U_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
4AOB_A	SAM links to Rfam database...	0.42	0.33	0.54	14	4345	13	1	11	1	28
4ATO_G	-	0.41	0.40	0.44	4	519	6	0	5	1	6
4ENB_A	crcB links to Rfam database...	0.76	0.58	1.00	11	1264	0	0	0	0	8
4ENC_A	crcB links to Rfam database...	0.52	0.42	0.67	8	1314	4	0	4	0	11
4FRG_B	AdoCbl-variant links to Rfam database...	0.69	0.56	0.86	18	3465	3	1	2	0	14
4HXH_A	-	1.00	1.00	1.00	6	319	0	0	0	0	0

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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP	521
Total TN	155599
Total FP	360
Total FP CONTRA	27
Total FP INCONS	306
Total FP COMP	27
Total FN	709

Total Scores
MCC	0.505
Average MCC ± 95% Confidence Intervals	0.607 ± 0.089
Sensitivity	0.424
Positive Predictive Value	0.610
Nr of predictions	49

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2. Individual counts for Vsfold4 [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2LBS_A	-	1.00	1.00	1.00	14	482	0	0	0	0	0
2LC8_A	GP_knot1 links to Rfam database...	-0.01	0.00	0.00	0	1527	13	0	13	0	20
2LDL_A	-	0.85	0.73	1.00	8	343	1	0	0	1	3
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	-	0.31	0.28	0.34	11	6073	21	3	18	0	28
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
2YIE_Z	-	-0.01	0.00	0.00	0	1529	11	3	8	0	12
2YIE_X	-	0.36	0.33	0.40	4	1368	6	2	4	0	8
3AMU_B	tRNA links to Rfam database...	0.64	0.56	0.75	15	2983	7	0	5	2	12
3J0L_7	-	0.51	0.41	0.64	7	1214	4	0	4	0	10
3J0L_g	-	-0.01	0.00	0.00	0	461	4	1	3	0	4
3J0L_2	-	0.38	0.36	0.41	12	6187	18	3	14	1	21
3J0L_a	-	0.39	0.31	0.50	5	1118	5	2	3	0	11
3J0L_8	-	0.70	0.50	1.00	4	186	0	0	0	0	4
3J0L_1	-	0.28	0.21	0.40	4	1215	6	1	5	0	15
3J0L_h	-	0.38	0.28	0.52	12	6082	11	0	11	0	31
3J16_L	tRNA links to Rfam database...	0.82	0.67	1.00	20	2755	0	0	0	0	10
3J20_1	tRNA links to Rfam database...	0.71	0.70	0.73	16	2904	6	0	6	0	7
3J20_0	tRNA links to Rfam database...	0.84	0.70	1.00	21	2829	1	0	0	1	9
3J2C_O	-	0.30	0.24	0.39	15	10258	24	0	23	1	48
3J2L_3	5S_rRNA links to Rfam database...	0.57	0.45	0.73	24	7842	12	1	8	3	29
3RKF_A	Purine links to Rfam database...	0.76	0.59	1.00	20	2191	0	0	0	0	14
3SD1_A	THF links to Rfam database...	0.19	0.17	0.24	7	3887	22	1	21	0	35
3SIU_F	-	0.73	0.55	1.00	6	372	0	0	0	0	5
3SN2_B	IRE_II links to Rfam database...	0.96	0.92	1.00	11	395	0	0	0	0	1
3TRZ_Z	-	0.91	0.83	1.00	5	205	1	0	0	1	1
3TS0_U	-	1.00	1.00	1.00	6	247	1	0	0	1	0
3TS2_V	-	1.00	1.00	1.00	5	271	0	0	0	0	0
3U4M_B	-	0.38	0.32	0.46	12	3134	14	0	14	0	25
3UZL_B	tRNA links to Rfam database...	0.53	0.41	0.71	15	3549	6	1	5	0	22
3VJR_D	-	0.96	0.92	1.00	12	618	0	0	0	0	1
3W3S_B	tRNA-Sec links to Rfam database...	0.67	0.58	0.79	23	4724	7	0	6	1	17
3ZEX_G	-	0.30	0.23	0.39	17	16427	27	2	25	0	57
3ZEX_D	5S_rRNA links to Rfam database...	0.55	0.45	0.69	22	6989	10	0	10	0	27
3ZEX_E	-	0.08	0.06	0.11	5	21900	40	1	39	0	72
4A1C_2	5_8S_rRNA links to Rfam database...	0.28	0.24	0.33	8	11757	28	0	16	12	25
4A1C_3	5S_rRNA links to Rfam database...	0.26	0.22	0.32	12	7103	25	2	23	0	42
4A4U_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
4AOB_A	SAM links to Rfam database...	0.42	0.33	0.54	14	4345	13	1	11	1	28
4ATO_G	-	0.32	0.30	0.38	3	520	5	1	4	0	7
4ENB_A	crcB links to Rfam database...	0.76	0.58	1.00	11	1264	0	0	0	0	8
4ENC_A	crcB links to Rfam database...	0.69	0.47	1.00	9	1317	0	0	0	0	10
4FRG_B	AdoCbl-variant links to Rfam database...	0.56	0.47	0.68	15	3464	7	1	6	0	17
4HXH_A	-	1.00	1.00	1.00	6	319	0	0	0	0	0

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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 IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

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

Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

2. Individual counts for Vsfold4 [ download as .csv ]