CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	MaxExpect		Vsfold4
MCC	0.440	>	0.423
Average MCC ± 95% Confidence Intervals	0.520 ± 0.080	>	0.477 ± 0.087
Sensitivity	0.414	>	0.380
Positive Predictive Value	0.476	<	0.479
Total TP	488	>	448
Total TN	158481	<	158571
Total FP	547	>	501
Total FP CONTRA	64	>	59
Total FP INCONS	473	>	428
Total FP COMP	10	<	14
Total FN	690	<	730
P-value	5.21776328505e-08

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Performance plots

Comparison of performance of MaxExpect and Vsfold4. 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 MaxExpect and Vsfold4).
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 MaxExpect and Vsfold4).
Comparison of average Matthews Correlation Coefficients (MCCs) for MaxExpect and Vsfold4. 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 MaxExpect and Vsfold4).

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Performance of MaxExpect - scored higher 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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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP	448
Total TN	158571
Total FP	501
Total FP CONTRA	59
Total FP INCONS	428
Total FP COMP	14
Total FN	730

Total Scores
MCC	0.423
Average MCC ± 95% Confidence Intervals	0.477 ± 0.087
Sensitivity	0.380
Positive Predictive Value	0.479
Nr of predictions	53

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2. Individual counts for Vsfold4 [ 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...	0.84	0.71	1.00	10	936	0	0	0	0	4
PDB_00018	-	0.20	0.20	0.22	4	1017	14	2	12	0	16
PDB_00020	-	0.46	0.35	0.64	7	769	4	0	4	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	-	-0.02	0.00	0.00	0	618	12	0	12	0	16
PDB_00123	-	0.35	0.33	0.38	12	4154	20	0	20	0	24
PDB_00124	-	0.59	0.50	0.71	5	489	2	0	2	0	5
PDB_00128	-	0.17	0.14	0.25	2	488	6	1	5	0	12
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	-	0.76	0.58	1.00	7	623	0	0	0	0	5
PDB_00352	-	0.89	0.79	1.00	15	1210	0	0	0	0	4
PDB_00370	-	0.00	0.00	0.00	0	15188	37	15	22	0	25
PDB_00447	-	0.28	0.23	0.34	10	7111	19	2	17	0	34
PDB_00571	tRNA links to Rfam database...	0.87	0.80	0.95	20	3300	1	1	0	0	5
PDB_00713	-	0.47	0.43	0.53	9	1999	8	0	8	0	12
PDB_00716	HDV_ribozyme links to Rfam database...	0.17	0.17	0.18	4	2679	19	0	18	1	19
PDB_00804	-	0.41	0.38	0.45	19	15358	25	0	23	2	31
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	-	0.79	0.63	1.00	5	373	0	0	0	0	3
PDB_00851	-	0.56	0.44	0.72	18	4728	7	0	7	0	23
PDB_00857	-	0.77	0.60	1.00	9	1072	0	0	0	0	6
PDB_00874	-	-0.01	0.00	0.00	0	936	10	0	10	0	20
PDB_00886	-	-0.01	0.00	0.00	0	4152	34	0	34	0	40
PDB_00918	-	0.75	0.57	1.00	4	321	0	0	0	0	3
PDB_01009	tRNA links to Rfam database...	0.90	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	-	0.65	0.43	1.00	3	228	0	0	0	0	4
PDB_01070	-	0.43	0.37	0.50	20	12680	20	0	20	0	34
PDB_01073	SAM links to Rfam database...	0.55	0.47	0.64	16	4346	10	0	9	1	18
PDB_01092	glmS links to Rfam database...	0.66	0.58	0.77	30	10114	10	2	7	1	22
PDB_01194	-	0.44	0.33	0.63	5	488	3	1	2	0	10
PDB_01201	-	0.79	0.64	1.00	14	1114	0	0	0	0	8
PDB_01203	-	0.73	0.63	0.86	12	1162	2	2	0	0	7
PDB_01250	-	0.00	0.00	0.00	0	12061	32	1	28	3	41
PDB_01260	-	0.58	0.44	0.79	11	1816	3	0	3	0	14
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	9124	56	12	44	0	39
RFA_00632	HDV_ribozyme links to Rfam database...	0.36	0.36	0.37	10	4068	17	3	14	0	18
RFA_00636	HDV_ribozyme links to Rfam database...	0.58	0.57	0.59	16	3978	11	1	10	0	12
RFA_00767	Corona_pk3 links to Rfam database...	-0.01	0.00	0.00	0	1878	13	1	12	0	18
RFA_00768	Corona_pk3 links to Rfam database...	-0.01	0.00	0.00	0	1875	16	1	15	0	18
RFA_00769	Corona_pk3 links to Rfam database...	0.50	0.50	0.50	9	1935	9	4	5	0	9
RFA_00770	Corona_pk3 links to Rfam database...	-0.01	0.00	0.00	0	2003	15	2	11	2	18
RFA_00773	Corona_pk3 links to Rfam database...	-0.01	0.00	0.00	0	1936	19	1	16	2	18
RFA_00779	Corona_pk3 links to Rfam database...	0.65	0.56	0.77	10	1940	3	2	1	0	8
RFA_00808	RydC links to Rfam database...	0.62	0.56	0.69	9	2003	4	3	1	0	7
RFA_00809	RydC links to Rfam database...	0.40	0.38	0.43	6	2131	8	1	7	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 MaxExpect - scored higher in this pairwise comparison

1. Total counts & total scores for MaxExpect

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

Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

2. Individual counts for Vsfold4 [ download as .csv ]