CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	Cylofold		ProbKnot
MCC	0.764	>	0.525
Average MCC ± 95% Confidence Intervals	0.800 ± 0.075	>	0.573 ± 0.090
Sensitivity	0.742	>	0.495
Positive Predictive Value	0.791	>	0.567
Total TP	636	>	424
Total TN	74778	<	74834
Total FP	184	<	333
Total FP CONTRA	31	<	33
Total FP INCONS	137	<	291
Total FP COMP	16	>	9
Total FN	221	<	433
P-value	3.56938820447e-08

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Performance plots

Comparison of performance of Cylofold and ProbKnot. 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 Cylofold and ProbKnot).
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 Cylofold and ProbKnot).
Comparison of average Matthews Correlation Coefficients (MCCs) for Cylofold and ProbKnot. 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 Cylofold and ProbKnot).

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Performance of Cylofold - scored higher in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP	636
Total TN	74778
Total FP	184
Total FP CONTRA	31
Total FP INCONS	137
Total FP COMP	16
Total FN	221

Total Scores
MCC	0.764
Average MCC ± 95% Confidence Intervals	0.800 ± 0.075
Sensitivity	0.742
Positive Predictive Value	0.791
Nr of predictions	45

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2. Individual counts for Cylofold [ 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...	0.78	0.79	0.79	11	932	3	0	3	0	3
PDB_00018	-	0.90	0.90	0.90	18	1015	2	2	0	0	2
PDB_00020	-	0.79	0.75	0.83	15	762	3	0	3	0	5
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	-	0.94	0.94	0.94	34	4150	2	2	0	0	2
PDB_00124	-	0.86	0.90	0.82	9	485	2	2	0	0	1
PDB_00128	-	0.78	0.79	0.79	11	482	3	0	3	0	3
PDB_00134	-	0.94	1.00	0.89	8	369	1	1	0	0	0
PDB_00138	-	0.94	1.00	0.89	8	369	1	1	0	0	0
PDB_00209	-	0.96	1.00	0.92	11	549	1	1	0	0	0
PDB_00243	-	1.00	1.00	1.00	12	618	0	0	0	0	0
PDB_00352	-	0.90	0.95	0.86	18	1204	3	2	1	0	1
PDB_00571	tRNA links to Rfam database...	0.87	0.80	0.95	20	3300	1	1	0	0	5
PDB_00713	-	0.24	0.24	0.26	5	1997	14	0	14	0	16
PDB_00716	HDV_ribozyme links to Rfam database...	0.68	0.70	0.67	16	2677	9	0	8	1	7
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...	0.43	0.42	0.45	10	2256	12	0	12	0	14
PDB_00842	-	1.00	1.00	1.00	8	370	0	0	0	0	0
PDB_00851	-	0.45	0.39	0.53	16	4723	14	0	14	0	25
PDB_00857	-	1.00	1.00	1.00	15	1066	0	0	0	0	0
PDB_00874	-	0.21	0.20	0.25	4	930	12	0	12	0	16
PDB_00886	-	0.34	0.35	0.35	14	4146	26	0	26	0	26
PDB_00918	-	0.93	1.00	0.88	7	317	1	1	0	0	0
PDB_01009	tRNA links to Rfam database...	0.90	0.90	0.90	19	2464	5	0	2	3	2
PDB_01020	Purine links to Rfam database...	0.86	0.74	1.00	17	2261	1	0	0	1	6
PDB_01040	-	1.00	1.00	1.00	20	1108	0	0	0	0	0
PDB_01059	-	0.88	1.00	0.78	7	222	2	2	0	0	0
PDB_01073	SAM links to Rfam database...	0.75	0.65	0.88	22	4346	4	2	1	1	12
PDB_01194	-	0.97	0.93	1.00	14	482	0	0	0	0	1
PDB_01201	-	0.95	0.91	1.00	20	1108	0	0	0	0	2
PDB_01203	-	0.74	0.68	0.81	13	1160	3	2	1	0	6
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	-	0.90	0.87	0.93	13	889	1	1	0	0	2
RFA_00632	HDV_ribozyme links to Rfam database...	0.54	0.54	0.56	15	4068	12	2	10	0	13
RFA_00636	HDV_ribozyme links to Rfam database...	0.78	0.82	0.74	23	3974	8	7	1	0	5
RFA_00767	Corona_pk3 links to Rfam database...	1.00	1.00	1.00	18	1873	4	0	0	4	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...	0.97	1.00	0.95	18	1934	1	1	0	0	0
RFA_00770	Corona_pk3 links to Rfam database...	0.88	0.78	1.00	14	2002	3	0	0	3	4
RFA_00773	Corona_pk3 links to Rfam database...	0.97	1.00	0.95	18	1934	4	1	0	3	0
RFA_00779	Corona_pk3 links to Rfam database...	0.97	0.94	1.00	17	1936	0	0	0	0	1
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 ProbKnot - scored lower in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP	424
Total TN	74834
Total FP	333
Total FP CONTRA	33
Total FP INCONS	291
Total FP COMP	9
Total FN	433

Total Scores
MCC	0.525
Average MCC ± 95% Confidence Intervals	0.573 ± 0.090
Sensitivity	0.495
Positive Predictive Value	0.567
Nr of predictions	45

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2. Individual counts for ProbKnot [ 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...	0.78	0.79	0.79	11	932	3	0	3	0	3
PDB_00018	-	0.20	0.20	0.22	4	1017	14	2	12	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	-	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	-	-0.02	0.00	0.00	0	488	8	2	6	0	10
PDB_00128	-	0.77	0.71	0.83	10	484	2	0	2	0	4
PDB_00134	-	0.79	0.63	1.00	5	373	0	0	0	0	3
PDB_00138	-	0.72	0.63	0.83	5	372	1	0	1	0	3
PDB_00209	-	0.56	0.45	0.71	5	554	2	0	2	0	6
PDB_00243	-	0.63	0.58	0.70	7	620	3	0	3	0	5
PDB_00352	-	0.86	0.79	0.94	15	1209	1	0	1	0	4
PDB_00571	tRNA links to Rfam database...	0.60	0.60	0.60	15	3296	10	6	4	0	10
PDB_00713	-	0.43	0.43	0.45	9	1996	12	0	11	1	12
PDB_00716	HDV_ribozyme links to Rfam database...	-0.01	0.00	0.00	0	2680	22	0	21	1	23
PDB_00828	Purine links to Rfam database...	0.86	0.78	0.95	21	2463	1	0	1	0	6
PDB_00829	Purine links to Rfam database...	0.86	0.75	1.00	18	2260	0	0	0	0	6
PDB_00842	-	1.00	1.00	1.00	8	370	0	0	0	0	0
PDB_00851	-	0.45	0.39	0.53	16	4723	14	0	14	0	25
PDB_00857	-	0.80	0.80	0.80	12	1066	3	0	3	0	3
PDB_00874	-	0.05	0.05	0.08	1	933	12	2	10	0	19
PDB_00886	-	-0.01	0.00	0.00	0	4148	38	0	38	0	40
PDB_00918	-	0.67	0.57	0.80	4	320	1	0	1	0	3
PDB_01009	tRNA links to Rfam database...	0.54	0.57	0.52	12	2462	12	5	6	1	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	0.32	6	1109	13	0	13	0	14
PDB_01059	-	1.00	1.00	1.00	7	224	0	0	0	0	0
PDB_01073	SAM links to Rfam database...	0.86	0.74	1.00	25	4346	1	0	0	1	9
PDB_01194	-	0.69	0.60	0.82	9	485	2	0	2	0	6
PDB_01201	-	0.98	0.95	1.00	21	1107	0	0	0	0	1
PDB_01203	-	0.74	0.68	0.81	13	1160	3	2	1	0	6
PDB_01260	-	0.53	0.48	0.60	12	1810	8	1	7	0	13
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
RFA_00632	HDV_ribozyme links to Rfam database...	0.40	0.39	0.41	11	4068	16	0	16	0	17
RFA_00636	HDV_ribozyme links to Rfam database...	0.44	0.46	0.43	13	3975	17	0	17	0	15
RFA_00767	Corona_pk3 links to Rfam database...	0.63	0.56	0.71	10	1877	4	0	4	0	8
RFA_00768	Corona_pk3 links to Rfam database...	0.44	0.44	0.44	8	1873	11	1	9	1	10
RFA_00769	Corona_pk3 links to Rfam database...	0.54	0.56	0.53	10	1934	9	4	5	0	8
RFA_00770	Corona_pk3 links to Rfam database...	0.59	0.56	0.63	10	2000	9	0	6	3	8
RFA_00773	Corona_pk3 links to Rfam database...	0.55	0.56	0.56	10	1935	8	3	5	0	8
RFA_00779	Corona_pk3 links to Rfam database...	0.63	0.56	0.71	10	1939	4	3	1	0	8
RFA_00809	RydC links to Rfam database...	0.35	0.38	0.33	6	2127	12	1	11	0	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 Cylofold - scored higher in this pairwise comparison

1. Total counts & total scores for Cylofold

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

Performance of ProbKnot - scored lower in this pairwise comparison

1. Total counts & total scores for ProbKnot

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