CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	ContextFold		MaxExpect
MCC	0.447	>	0.440
Average MCC ± 95% Confidence Intervals	0.507 ± 0.081	<	0.520 ± 0.080
Sensitivity	0.407	<	0.414
Positive Predictive Value	0.499	>	0.476
Total TP	480	<	488
Total TN	158545	>	158481
Total FP	491	<	547
Total FP CONTRA	52	<	64
Total FP INCONS	429	<	473
Total FP COMP	10	=	10
Total FN	698	>	690
P-value	0.00158471883626

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Performance plots

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

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Performance of ContextFold - scored higher 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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Performance of MaxExpect - scored lower in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP	488
Total TN	158481
Total FP	547
Total FP CONTRA	64
Total FP INCONS	473
Total FP COMP	10
Total FN	690

Total Scores
MCC	0.440
Average MCC ± 95% Confidence Intervals	0.520 ± 0.080
Sensitivity	0.414
Positive Predictive Value	0.476
Nr of predictions	53

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2. Individual counts for MaxExpect [ 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	-	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	-	-0.02	0.00	0.00	0	488	8	2	6	0	10
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	-	0.56	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	-	0.83	0.74	0.93	14	1210	1	0	1	0	5
PDB_00370	-	0.09	0.12	0.07	3	15182	40	10	30	0	22
PDB_00447	-	0.27	0.25	0.31	11	7104	25	6	19	0	33
PDB_00571	tRNA links to Rfam database...	0.42	0.36	0.50	9	3303	9	2	7	0	16
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	-	0.31	0.32	0.31	16	15348	38	6	30	2	34
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	-	0.45	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	-	0.10	0.10	0.13	2	930	14	2	12	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...	0.51	0.57	0.46	12	2459	14	5	9	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	0.32	6	1109	13	0	13	0	14
PDB_01059	-	0.75	0.57	1.00	4	227	0	0	0	0	3
PDB_01070	-	0.35	0.30	0.41	16	12681	23	0	23	0	38
PDB_01073	SAM links to Rfam database...	0.86	0.74	1.00	25	4346	1	0	0	1	9
PDB_01092	glmS links to Rfam database...	0.75	0.63	0.89	33	10116	6	0	4	2	19
PDB_01194	-	0.77	0.60	1.00	9	487	0	0	0	0	6
PDB_01201	-	0.82	0.68	1.00	15	1113	0	0	0	0	7
PDB_01203	-	0.71	0.63	0.80	12	1161	3	2	1	0	7
PDB_01250	-	0.13	0.12	0.15	5	12057	28	3	25	0	36
PDB_01260	-	0.64	0.48	0.86	12	1816	2	0	2	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
PDB_01309	-	-0.01	0.00	0.00	0	9118	62	9	53	0	39
RFA_00632	HDV_ribozyme links to Rfam database...	0.34	0.36	0.33	10	4065	20	2	18	0	18
RFA_00636	HDV_ribozyme links to Rfam database...	0.41	0.43	0.40	12	3975	18	2	16	0	16
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...	0.47	0.44	0.50	8	1875	8	1	7	0	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...	0.63	0.56	0.71	10	2002	7	0	4	3	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...	0.62	0.56	0.69	9	2003	4	0	4	0	7
RFA_00809	RydC links to Rfam database...	0.37	0.38	0.38	6	2129	10	1	9	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 ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

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

Performance of MaxExpect - scored lower in this pairwise comparison

1. Total counts & total scores for MaxExpect

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