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		Pknots
MCC	0.592	>	0.547
Average MCC ± 95% Confidence Intervals	0.575 ± 0.071	>	0.550 ± 0.074
Sensitivity	0.518	>	0.489
Positive Predictive Value	0.683	>	0.620
Total TP	855	>	806
Total TN	207139	>	207090
Total FP	458	<	540
Total FP CONTRA	54	<	74
Total FP INCONS	343	<	421
Total FP COMP	61	>	45
Total FN	794	<	843
P-value	3.56938820447e-08

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Performance plots

Comparison of performance of HotKnots and Pknots. 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 Pknots).
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 Pknots).
Comparison of average Matthews Correlation Coefficients (MCCs) for HotKnots and Pknots. 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 Pknots).

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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	855
Total TN	207139
Total FP	458
Total FP CONTRA	54
Total FP INCONS	343
Total FP COMP	61
Total FN	794

Total Scores
MCC	0.592
Average MCC ± 95% Confidence Intervals	0.575 ± 0.071
Sensitivity	0.518
Positive Predictive Value	0.683
Nr of predictions	53

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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
2KDQ_B	mir-TAR links to Rfam database...	0.95	0.91	1.00	10	396	0	0	0	0	1
2KFC_A	-	-0.02	0.00	0.00	0	623	7	0	7	0	20
2KRL_A	-	0.76	0.60	0.96	24	5126	5	0	1	4	16
2KX8_A	7SK links to Rfam database...	0.94	0.89	1.00	16	845	0	0	0	0	2
2LA5_A	-	0.39	0.26	0.63	5	622	3	1	2	0	14
2LC8_A	GP_knot1 links to Rfam database...	0.61	0.55	0.69	11	1524	5	0	5	0	9
2LKR_A	-	0.93	0.87	1.00	34	6071	3	0	0	3	5
2RP0_A	-	0.64	0.42	1.00	5	346	0	0	0	0	7
2WRQ_Y	tRNA links to Rfam database...	0.57	0.59	0.56	10	2832	13	5	3	5	7
2WW9_D	-	0.14	0.12	0.19	3	1937	13	0	13	0	23
2WW9_E	-	0.53	0.29	1.00	4	557	0	0	0	0	10
2WW9_F	-	0.59	0.60	0.60	6	290	4	0	4	0	4
2WWQ_V	tRNA links to Rfam database...	0.76	0.68	0.86	19	2904	5	0	3	2	9
2XQD_Y	tRNA links to Rfam database...	0.88	0.78	1.00	21	2829	0	0	0	0	6
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
3AMU_B	tRNA links to Rfam database...	0.70	0.59	0.84	16	2984	5	0	3	2	11
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
3GX2_A	SAM links to Rfam database...	0.68	0.55	0.85	22	4345	5	0	4	1	18
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
3IZF_C	5S_rRNA links to Rfam database...	0.70	0.61	0.80	33	6862	8	1	7	0	21
3J0L_2	-	0.28	0.27	0.29	9	6185	23	3	19	1	24
3J0L_g	-	-0.01	0.00	0.00	0	460	5	1	4	0	4
3J0L_7	-	0.28	0.29	0.29	5	1208	12	0	12	0	12
3J0L_a	-	0.51	0.50	0.53	8	1113	7	3	4	0	8
3J16_L	tRNA links to Rfam database...	0.26	0.23	0.30	7	2752	16	1	15	0	23
3JYV_7	tRNA links to Rfam database...	-0.01	0.00	0.00	0	2828	22	1	21	0	32
3JYX_4	5_8S_rRNA links to Rfam database...	0.32	0.30	0.33	10	12216	31	5	15	11	23
3JYX_3	5S_rRNA links to Rfam database...	0.62	0.63	0.61	17	6300	22	1	10	11	10
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
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
3PDR_A	ykoK links to Rfam database...	0.67	0.56	0.82	40	12831	11	0	9	2	32
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...	0.64	0.52	0.79	22	3888	6	1	5	0	20
3U4M_B	-	0.38	0.32	0.46	12	3134	14	0	14	0	25
3UZL_B	tRNA links to Rfam database...	0.48	0.38	0.61	14	3547	9	0	9	0	23
4A1C_2	5_8S_rRNA links to Rfam database...	0.14	0.15	0.14	5	11745	42	6	25	11	28
4A1C_3	5S_rRNA links to Rfam database...	0.70	0.59	0.82	32	7101	7	1	6	0	22
4AOB_A	SAM links to Rfam database...	0.50	0.40	0.63	17	4344	11	2	8	1	25
4ENB_A	crcB links to Rfam database...	0.89	0.79	1.00	15	1260	0	0	0	0	4
4ENC_A	crcB links to Rfam database...	0.86	0.79	0.94	15	1310	1	1	0	0	4

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Performance of Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP	806
Total TN	207090
Total FP	540
Total FP CONTRA	74
Total FP INCONS	421
Total FP COMP	45
Total FN	843

Total Scores
MCC	0.547
Average MCC ± 95% Confidence Intervals	0.550 ± 0.074
Sensitivity	0.489
Positive Predictive Value	0.620
Nr of predictions	53

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2. Individual counts for Pknots [ 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	0	0	0	0	1
2KFC_A	-	0.11	0.10	0.17	2	618	10	0	10	0	18
2KRL_A	-	0.67	0.58	0.79	23	5122	9	2	4	3	17
2KX8_A	7SK links to Rfam database...	0.94	0.89	1.00	16	845	0	0	0	0	2
2LA5_A	-	0.46	0.26	0.83	5	624	1	0	1	0	14
2LC8_A	GP_knot1 links to Rfam database...	0.79	0.75	0.83	15	1522	3	1	2	0	5
2LKR_A	-	0.44	0.44	0.45	17	6067	22	4	17	1	22
2RP0_A	-	0.66	0.58	0.78	7	342	2	1	1	0	5
2WRQ_Y	tRNA links to Rfam database...	0.57	0.59	0.56	10	2832	12	5	3	4	7
2WW9_D	-	0.35	0.31	0.42	8	1934	11	2	9	0	18
2WW9_E	-	0.39	0.29	0.57	4	554	3	0	3	0	10
2WW9_F	-	0.59	0.60	0.60	6	290	4	0	4	0	4
2WWQ_V	tRNA links to Rfam database...	0.24	0.21	0.29	6	2905	16	1	14	1	22
2XQD_Y	tRNA links to Rfam database...	0.88	0.78	1.00	21	2829	0	0	0	0	6
2ZZM_B	tRNA links to Rfam database...	0.20	0.19	0.23	6	3460	20	2	18	0	26
2ZZN_D	tRNA links to Rfam database...	0.86	0.78	0.95	21	2463	1	0	1	0	6
3A2K_C	tRNA links to Rfam database...	0.45	0.43	0.48	12	2901	13	2	11	0	16
3A3A_A	tRNA-Sec links to Rfam database...	0.87	0.76	1.00	28	3627	0	0	0	0	9
3ADB_C	-	0.92	0.84	1.00	32	4154	0	0	0	0	6
3AKZ_H	tRNA links to Rfam database...	0.84	0.75	0.95	21	2679	1	1	0	0	7
3AM1_B	-	0.91	0.83	1.00	29	3211	0	0	0	0	6
3AMU_B	tRNA links to Rfam database...	0.86	0.74	1.00	20	2983	2	0	0	2	7
3G4S_9	5S_rRNA links to Rfam database...	0.25	0.21	0.31	12	7342	27	0	27	0	45
3GCA_A	-	0.35	0.24	0.57	4	521	3	0	3	0	13
3GX2_A	SAM links to Rfam database...	0.47	0.40	0.55	16	4342	14	1	12	1	24
3IVN_B	Purine links to Rfam database...	0.78	0.65	0.95	20	2325	1	0	1	0	11
3IWN_A	c-di-GMP-I links to Rfam database...	0.21	0.18	0.25	6	4254	18	1	17	0	27
3IZF_C	5S_rRNA links to Rfam database...	0.70	0.61	0.80	33	6862	8	1	7	0	21
3J0L_2	-	0.36	0.36	0.36	12	6183	23	3	18	2	21
3J0L_g	-	-0.01	0.00	0.00	0	460	5	2	3	0	4
3J0L_7	-	0.28	0.29	0.29	5	1208	12	0	12	0	12
3J0L_a	-	0.35	0.31	0.42	5	1116	7	1	6	0	11
3J16_L	tRNA links to Rfam database...	0.34	0.30	0.41	9	2753	13	0	13	0	21
3JYV_7	tRNA links to Rfam database...	0.81	0.66	1.00	21	2829	0	0	0	0	11
3JYX_4	5_8S_rRNA links to Rfam database...	0.18	0.21	0.16	7	12203	41	13	23	5	26
3JYX_3	5S_rRNA links to Rfam database...	0.34	0.37	0.31	10	6296	24	9	13	2	17
3KTW_C	-	0.49	0.44	0.56	19	4526	16	2	13	1	24
3LA5_A	Purine links to Rfam database...	0.80	0.65	1.00	22	2463	0	0	0	0	12
3NDB_M	-	0.77	0.69	0.88	42	9132	7	1	5	1	19
3NKB_B	-	0.55	0.50	0.62	13	1995	8	0	8	0	13
3NPB_A	SAM links to Rfam database...	0.76	0.67	0.86	31	6985	8	1	4	3	15
3O58_2	5S_rRNA links to Rfam database...	0.83	0.74	0.93	28	7230	3	0	2	1	10
3O58_3	5_8S_rRNA links to Rfam database...	0.27	0.31	0.24	11	12357	38	11	24	3	24
3PDR_A	ykoK links to Rfam database...	0.54	0.44	0.65	32	12831	19	0	17	2	40
3RKF_A	Purine links to Rfam database...	0.77	0.62	0.95	21	2189	1	0	1	0	13
3SD1_A	THF links to Rfam database...	0.65	0.52	0.81	22	3889	5	0	5	0	20
3U4M_B	-	0.26	0.22	0.32	8	3135	17	0	17	0	29
3UZL_B	tRNA links to Rfam database...	0.75	0.59	0.96	22	3547	1	0	1	0	15
4A1C_2	5_8S_rRNA links to Rfam database...	0.24	0.24	0.25	8	11749	36	3	21	12	25
4A1C_3	5S_rRNA links to Rfam database...	0.25	0.22	0.29	12	7099	29	1	28	0	42
4AOB_A	SAM links to Rfam database...	0.17	0.14	0.21	6	4343	23	1	21	1	36
4ENB_A	crcB links to Rfam database...	0.83	0.79	0.88	15	1258	2	1	1	0	4
4ENC_A	crcB links to Rfam database...	0.86	0.79	0.94	15	1310	1	1	0	0	4

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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 HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

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

Performance of Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

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