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		RNAwolf
MCC	0.453	>	0.362
Average MCC ± 95% Confidence Intervals	0.555 ± 0.100	>	0.397 ± 0.078
Sensitivity	0.445	>	0.353
Positive Predictive Value	0.469	>	0.380
Total TP	524	>	416
Total TN	158389	<	158411
Total FP	609	<	724
Total FP CONTRA	81	<	111
Total FP INCONS	512	<	568
Total FP COMP	16	<	45
Total FN	654	<	762
P-value	3.56938820447e-08

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Performance plots

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

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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	524
Total TN	158389
Total FP	609
Total FP CONTRA	81
Total FP INCONS	512
Total FP COMP	16
Total FN	654

Total Scores
MCC	0.453
Average MCC ± 95% Confidence Intervals	0.555 ± 0.100
Sensitivity	0.445
Positive Predictive Value	0.469
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
PDB_00005	Tymo_tRNA-like links to Rfam database...	0.88	0.79	1.00	11	935	0	0	0	0	3
PDB_00018	-	0.20	0.20	0.22	4	1017	14	2	12	0	16
PDB_00020	-	0.38	0.35	0.44	7	764	9	0	9	0	13
PDB_00041	-	1.00	1.00	1.00	12	618	0	0	0	0	0
PDB_00053	-	1.00	1.00	1.00	11	424	0	0	0	0	0
PDB_00056	-	0.93	0.88	1.00	14	616	0	0	0	0	2
PDB_00123	-	-0.01	0.00	0.00	0	4151	35	0	35	0	36
PDB_00124	-	0.86	0.90	0.82	9	485	2	2	0	0	1
PDB_00128	-	0.80	0.71	0.91	10	485	1	0	1	0	4
PDB_00134	-	0.79	0.63	1.00	5	373	0	0	0	0	3
PDB_00138	-	0.79	0.63	1.00	5	373	0	0	0	0	3
PDB_00209	-	0.96	1.00	0.92	11	549	1	1	0	0	0
PDB_00243	-	0.71	0.58	0.88	7	622	1	0	1	0	5
PDB_00352	-	0.89	0.79	1.00	15	1210	0	0	0	0	4
PDB_00370	-	0.09	0.12	0.07	3	15179	45	12	31	2	22
PDB_00447	-	0.23	0.23	0.25	10	7100	30	6	24	0	34
PDB_00571	tRNA links to Rfam database...	0.17	0.16	0.19	4	3300	17	6	11	0	21
PDB_00713	-	0.43	0.43	0.45	9	1996	11	0	11	0	12
PDB_00716	HDV_ribozyme links to Rfam database...	-0.01	0.00	0.00	0	2678	24	1	22	1	23
PDB_00804	-	0.22	0.24	0.21	12	15342	48	10	36	2	38
PDB_00828	Purine links to Rfam database...	0.88	0.78	1.00	21	2464	0	0	0	0	6
PDB_00829	Purine links to Rfam database...	0.86	0.75	1.00	18	2260	0	0	0	0	6
PDB_00842	-	0.79	0.63	1.00	5	373	0	0	0	0	3
PDB_00851	-	0.44	0.39	0.50	16	4721	16	0	16	0	25
PDB_00857	-	1.00	1.00	1.00	15	1066	0	0	0	0	0
PDB_00874	-	0.10	0.10	0.14	2	932	12	2	10	0	18
PDB_00886	-	-0.01	0.00	0.00	0	4148	38	0	38	0	40
PDB_00918	-	0.75	0.57	1.00	4	321	0	0	0	0	3
PDB_01009	tRNA links to Rfam database...	0.52	0.57	0.48	12	2460	13	5	8	0	9
PDB_01020	Purine links to Rfam database...	0.86	0.74	1.00	17	2261	1	0	0	1	6
PDB_01040	-	0.30	0.30	0.33	6	1110	12	0	12	0	14
PDB_01059	-	0.75	0.57	1.00	4	227	0	0	0	0	3
PDB_01070	-	0.31	0.30	0.33	16	12671	33	2	31	0	38
PDB_01073	SAM links to Rfam database...	0.81	0.74	0.89	25	4343	4	2	1	1	9
PDB_01092	glmS links to Rfam database...	0.69	0.65	0.74	34	10107	13	0	12	1	18
PDB_01194	-	0.93	0.93	0.93	14	481	1	1	0	0	1
PDB_01201	-	0.85	0.73	1.00	16	1112	0	0	0	0	6
PDB_01203	-	0.71	0.63	0.80	12	1161	3	2	1	0	7
PDB_01250	-	0.10	0.10	0.12	4	12056	30	7	23	0	37
PDB_01260	-	0.41	0.36	0.47	9	1811	10	0	10	0	16
PDB_01281	-	-0.03	0.00	0.00	0	366	12	0	12	0	14
PDB_01299	-	0.74	0.67	0.83	10	891	2	1	1	0	5
PDB_01309	-	-0.01	0.00	0.00	0	9118	62	9	53	0	39
RFA_00632	HDV_ribozyme links to Rfam database...	0.38	0.39	0.37	11	4065	19	2	17	0	17
RFA_00636	HDV_ribozyme links to Rfam database...	0.42	0.43	0.43	12	3977	16	2	14	0	16
RFA_00767	Corona_pk3 links to Rfam database...	0.93	1.00	0.86	18	1870	3	3	0	0	0
RFA_00768	Corona_pk3 links to Rfam database...	1.00	1.00	1.00	18	1873	0	0	0	0	0
RFA_00769	Corona_pk3 links to Rfam database...	-0.01	0.00	0.00	0	1934	21	0	19	2	18
RFA_00770	Corona_pk3 links to Rfam database...	-0.01	0.00	0.00	0	1999	20	0	17	3	18
RFA_00773	Corona_pk3 links to Rfam database...	-0.01	0.00	0.00	0	1934	22	0	19	3	18
RFA_00779	Corona_pk3 links to Rfam database...	0.87	0.94	0.81	17	1932	4	3	1	0	1
RFA_00808	RydC links to Rfam database...	1.00	1.00	1.00	16	2000	0	0	0	0	0
RFA_00809	RydC links to Rfam database...	0.79	0.81	0.76	13	2128	4	0	4	0	3

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP	416
Total TN	158411
Total FP	724
Total FP CONTRA	111
Total FP INCONS	568
Total FP COMP	45
Total FN	762

Total Scores
MCC	0.362
Average MCC ± 95% Confidence Intervals	0.397 ± 0.078
Sensitivity	0.353
Positive Predictive Value	0.380
Nr of predictions	53

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

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
PDB_00005	Tymo_tRNA-like links to Rfam database...	0.42	0.36	0.50	5	936	6	0	5	1	9
PDB_00018	-	0.18	0.15	0.25	3	1023	9	2	7	0	17
PDB_00020	-	0.39	0.35	0.47	7	765	8	0	8	0	13
PDB_00041	-	0.61	0.50	0.75	6	622	2	0	2	0	6
PDB_00053	-	0.73	0.55	1.00	6	429	0	0	0	0	5
PDB_00056	-	-0.02	0.00	0.00	0	615	15	0	15	0	16
PDB_00123	-	0.31	0.33	0.30	12	4146	28	4	24	0	24
PDB_00124	-	-0.02	0.00	0.00	0	485	11	2	9	0	10
PDB_00128	-	0.84	0.71	1.00	10	486	0	0	0	0	4
PDB_00134	-	0.72	0.63	0.83	5	372	3	0	1	2	3
PDB_00138	-	-0.02	0.00	0.00	0	371	7	0	7	0	8
PDB_00209	-	0.74	0.55	1.00	6	555	0	0	0	0	5
PDB_00243	-	0.54	0.42	0.71	5	623	2	0	2	0	7
PDB_00352	-	0.67	0.58	0.79	11	1211	3	0	3	0	8
PDB_00370	-	0.34	0.48	0.25	12	15177	42	23	13	6	13
PDB_00447	-	0.22	0.20	0.25	9	7104	27	2	25	0	35
PDB_00571	tRNA links to Rfam database...	0.89	0.84	0.95	21	3299	2	1	0	1	4
PDB_00713	-	0.28	0.24	0.33	5	2001	11	0	10	1	16
PDB_00716	HDV_ribozyme links to Rfam database...	0.68	0.57	0.81	13	2685	3	0	3	0	10
PDB_00804	-	0.23	0.24	0.22	12	15345	53	6	37	10	38
PDB_00828	Purine links to Rfam database...	0.85	0.81	0.88	22	2460	3	1	2	0	5
PDB_00829	Purine links to Rfam database...	0.78	0.75	0.82	18	2256	4	1	3	0	6
PDB_00842	-	0.72	0.63	0.83	5	372	1	0	1	0	3
PDB_00851	-	0.34	0.34	0.35	14	4713	26	0	26	0	27
PDB_00857	-	0.57	0.60	0.56	9	1065	7	0	7	0	6
PDB_00874	-	-0.02	0.00	0.00	0	928	18	0	18	0	20
PDB_00886	-	-0.01	0.00	0.00	0	4143	43	4	39	0	40
PDB_00918	-	-0.02	0.00	0.00	0	317	8	0	8	0	7
PDB_01009	tRNA links to Rfam database...	0.45	0.52	0.39	11	2457	18	6	11	1	10
PDB_01020	Purine links to Rfam database...	0.84	0.83	0.86	19	2256	5	1	2	2	4
PDB_01040	-	0.24	0.25	0.25	5	1108	15	1	14	0	15
PDB_01059	-	-0.03	0.00	0.00	0	226	5	1	4	0	7
PDB_01070	-	0.00	0.00	0.00	0	12665	55	8	47	0	54
PDB_01073	SAM links to Rfam database...	0.17	0.18	0.17	6	4336	29	3	26	0	28
PDB_01092	glmS links to Rfam database...	0.43	0.38	0.49	20	10112	23	2	19	2	32
PDB_01194	-	0.61	0.53	0.73	8	485	3	0	3	0	7
PDB_01201	-	0.75	0.68	0.83	15	1110	3	0	3	0	7
PDB_01203	-	-0.01	0.00	0.00	0	1165	11	0	11	0	19
PDB_01250	-	0.45	0.44	0.46	18	12051	21	11	10	0	23
PDB_01260	-	-0.01	0.00	0.00	0	1809	21	0	21	0	25
PDB_01281	-	-0.04	0.00	0.00	0	365	13	0	13	0	14
PDB_01299	-	0.65	0.53	0.80	8	893	2	0	2	0	7
PDB_01309	-	0.26	0.31	0.22	12	9126	42	14	28	0	27
RFA_00632	HDV_ribozyme links to Rfam database...	0.25	0.25	0.27	7	4069	22	1	18	3	21
RFA_00636	HDV_ribozyme links to Rfam database...	0.40	0.39	0.41	11	3978	19	1	15	3	17
RFA_00767	Corona_pk3 links to Rfam database...	0.48	0.44	0.53	8	1876	8	1	6	1	10
RFA_00768	Corona_pk3 links to Rfam database...	0.50	0.44	0.57	8	1877	8	1	5	2	10
RFA_00769	Corona_pk3 links to Rfam database...	0.41	0.44	0.38	8	1932	13	3	10	0	10
RFA_00770	Corona_pk3 links to Rfam database...	0.51	0.50	0.53	9	1999	12	2	6	4	9
RFA_00773	Corona_pk3 links to Rfam database...	0.42	0.39	0.47	7	1938	12	1	7	4	11
RFA_00779	Corona_pk3 links to Rfam database...	0.26	0.28	0.26	5	1934	14	6	8	0	13
RFA_00808	RydC links to Rfam database...	0.68	0.56	0.82	9	2005	2	2	0	0	7
RFA_00809	RydC links to Rfam database...	0.47	0.38	0.60	6	2135	6	0	4	2	10

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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 RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

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