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		ContextFold
MCC	0.453	>	0.447
Average MCC ± 95% Confidence Intervals	0.555 ± 0.100	>	0.507 ± 0.081
Sensitivity	0.445	>	0.407
Positive Predictive Value	0.469	<	0.499
Total TP	524	>	480
Total TN	158389	<	158545
Total FP	609	>	491
Total FP CONTRA	81	>	52
Total FP INCONS	512	>	429
Total FP COMP	16	>	10
Total FN	654	<	698
P-value	0.282238742299

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Performance plots

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

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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 ContextFold - scored lower in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP	480
Total TN	158545
Total FP	491
Total FP CONTRA	52
Total FP INCONS	429
Total FP COMP	10
Total FN	698

Total Scores
MCC	0.447
Average MCC ± 95% Confidence Intervals	0.507 ± 0.081
Sensitivity	0.407
Positive Predictive Value	0.499
Nr of predictions	53

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2. Individual counts for ContextFold [ 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	5	0	5	0	9
PDB_00018	-	0.22	0.20	0.27	4	1020	11	2	9	0	16
PDB_00020	-	0.41	0.35	0.50	7	766	7	0	7	0	13
PDB_00041	-	0.70	0.50	1.00	6	624	0	0	0	0	6
PDB_00053	-	0.73	0.55	1.00	6	429	0	0	0	0	5
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	-	0.70	0.50	1.00	5	491	0	0	0	0	5
PDB_00128	-	0.75	0.57	1.00	8	488	0	0	0	0	6
PDB_00134	-	0.57	0.50	0.67	4	372	2	0	2	0	4
PDB_00138	-	-0.02	0.00	0.00	0	372	6	1	5	0	8
PDB_00209	-	0.67	0.45	1.00	5	556	0	0	0	0	6
PDB_00243	-	0.50	0.42	0.63	5	622	3	0	3	0	7
PDB_00352	-	0.92	0.84	1.00	16	1209	0	0	0	0	3
PDB_00370	-	0.12	0.16	0.10	4	15185	36	7	29	0	21
PDB_00447	-	-0.01	0.00	0.00	0	7108	32	8	24	0	44
PDB_00571	tRNA links to Rfam database...	0.85	0.76	0.95	19	3301	1	1	0	0	6
PDB_00713	-	0.42	0.38	0.47	8	1999	9	0	9	0	13
PDB_00716	HDV_ribozyme links to Rfam database...	-0.01	0.00	0.00	0	2687	14	0	14	0	23
PDB_00804	-	0.86	0.84	0.88	42	15352	8	0	6	2	8
PDB_00828	Purine links to Rfam database...	0.86	0.74	1.00	20	2465	0	0	0	0	7
PDB_00829	Purine links to Rfam database...	0.86	0.75	1.00	18	2260	0	0	0	0	6
PDB_00842	-	0.72	0.63	0.83	5	372	1	0	1	0	3
PDB_00851	-	0.45	0.39	0.53	16	4723	14	0	14	0	25
PDB_00857	-	0.67	0.60	0.75	9	1069	3	0	3	0	6
PDB_00874	-	-0.02	0.00	0.00	0	929	17	0	17	0	20
PDB_00886	-	-0.01	0.00	0.00	0	4151	35	0	35	0	40
PDB_00918	-	0.67	0.57	0.80	4	320	1	0	1	0	3
PDB_01009	tRNA links to Rfam database...	0.90	0.90	0.90	19	2464	3	0	2	1	2
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	-	0.17	0.15	0.21	8	12682	30	0	30	0	46
PDB_01073	SAM links to Rfam database...	0.48	0.44	0.54	15	4343	13	2	11	0	19
PDB_01092	glmS links to Rfam database...	0.70	0.63	0.77	33	10110	12	1	9	2	19
PDB_01194	-	0.77	0.60	1.00	9	487	0	0	0	0	6
PDB_01201	-	0.53	0.41	0.69	9	1115	4	0	4	0	13
PDB_01203	-	0.77	0.68	0.87	13	1161	2	2	0	0	6
PDB_01250	-	0.22	0.20	0.24	8	12057	26	3	22	1	33
PDB_01260	-	0.52	0.36	0.75	9	1818	3	0	3	0	16
PDB_01281	-	-0.03	0.00	0.00	0	366	12	0	12	0	14
PDB_01299	-	0.73	0.60	0.90	9	893	3	1	0	2	6
PDB_01309	-	-0.01	0.00	0.00	0	9120	60	9	51	0	39
RFA_00632	HDV_ribozyme links to Rfam database...	0.25	0.25	0.26	7	4068	20	1	19	0	21
RFA_00636	HDV_ribozyme links to Rfam database...	0.52	0.43	0.63	12	3986	7	0	7	0	16
RFA_00767	Corona_pk3 links to Rfam database...	0.59	0.56	0.63	10	1875	6	3	3	0	8
RFA_00768	Corona_pk3 links to Rfam database...	0.61	0.56	0.67	10	1876	5	2	3	0	8
RFA_00769	Corona_pk3 links to Rfam database...	0.55	0.56	0.56	10	1935	8	4	4	0	8
RFA_00770	Corona_pk3 links to Rfam database...	0.61	0.56	0.67	10	2001	5	2	3	0	8
RFA_00773	Corona_pk3 links to Rfam database...	0.59	0.56	0.63	10	1937	6	1	5	0	8
RFA_00779	Corona_pk3 links to Rfam database...	0.61	0.56	0.67	10	1938	5	2	3	0	8
RFA_00808	RydC links to Rfam database...	0.58	0.44	0.78	7	2007	2	0	2	0	9
RFA_00809	RydC links to Rfam database...	0.39	0.31	0.50	5	2135	6	0	5	1	11

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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 ContextFold - scored lower in this pairwise comparison

1. Total counts & total scores for ContextFold

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