CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	TurboFold(20)		ProbKnot
MCC	0.773	>	0.670
Average MCC ± 95% Confidence Intervals	0.771 ± 0.111	>	0.673 ± 0.124
Sensitivity	0.737	>	0.686
Positive Predictive Value	0.817	>	0.662
Total TP	272	>	253
Total TN	27987	>	27938
Total FP	90	<	172
Total FP CONTRA	15	<	39
Total FP INCONS	46	<	90
Total FP COMP	29	<	43
Total FN	97	<	116
P-value	1.52299983238e-08

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Performance plots

Comparison of performance of TurboFold(20) 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 TurboFold(20) and ProbKnot).
Comparison of performance of TurboFold(20) 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 TurboFold(20) 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 TurboFold(20) 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 TurboFold(20) and ProbKnot).
Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) 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 TurboFold(20) and ProbKnot).
Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) 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 TurboFold(20) and ProbKnot).

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Performance of TurboFold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for TurboFold(20)

Total Base Pair Counts
Total TP	272
Total TN	27987
Total FP	90
Total FP CONTRA	15
Total FP INCONS	46
Total FP COMP	29
Total FN	97

Total Scores
MCC	0.773
Average MCC ± 95% Confidence Intervals	0.771 ± 0.111
Sensitivity	0.737
Positive Predictive Value	0.817
Nr of predictions	15

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2. Individual counts for TurboFold(20) [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2L94_A	HIV_FE links to Rfam database...	0.94	0.94	0.94	17	339	2	0	1	1	1
3AMU_B	tRNA links to Rfam database...	0.81	0.79	0.83	15	1139	6	0	3	3	4
3J20_1	tRNA links to Rfam database...	1.00	1.00	1.00	20	1092	1	0	0	1	0
3J20_0	tRNA links to Rfam database...	0.74	0.76	0.73	16	1197	7	1	5	1	5
3J2L_3	5S_rRNA links to Rfam database...	0.92	0.91	0.94	31	2987	5	1	1	3	3
3RKF_A	Purine links to Rfam database...	0.91	0.83	1.00	20	846	0	0	0	0	4
3SD1_A	THF links to Rfam database...	0.71	0.69	0.74	20	1506	7	2	5	0	9
3ZEX_C	5_8S_rRNA links to Rfam database...	0.49	0.45	0.54	13	5350	15	2	9	4	16
3ZEX_D	5S_rRNA links to Rfam database...	0.86	0.80	0.93	28	2766	6	0	2	4	7
4A1C_3	5S_rRNA links to Rfam database...	0.86	0.84	0.89	31	2728	6	0	4	2	6
4A1C_2	5_8S_rRNA links to Rfam database...	0.22	0.25	0.21	5	4492	28	6	13	9	15
4AOB_A	SAM links to Rfam database...	0.67	0.59	0.77	17	1415	6	2	3	1	12
4ENB_A	crcB links to Rfam database...	0.77	0.60	1.00	9	463	0	0	0	0	6
4ENC_A	crcB links to Rfam database...	0.73	0.60	0.90	9	486	1	1	0	0	6
4FRG_B	AdoCbl-variant links to Rfam database...	0.93	0.88	1.00	21	1181	0	0	0	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	253
Total TN	27938
Total FP	172
Total FP CONTRA	39
Total FP INCONS	90
Total FP COMP	43
Total FN	116

Total Scores
MCC	0.670
Average MCC ± 95% Confidence Intervals	0.673 ± 0.124
Sensitivity	0.686
Positive Predictive Value	0.662
Nr of predictions	15

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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
2L94_A	HIV_FE links to Rfam database...	1.00	1.00	1.00	18	339	1	0	0	1	0
3AMU_B	tRNA links to Rfam database...	0.77	0.79	0.75	15	1137	9	0	5	4	4
3J20_1	tRNA links to Rfam database...	0.75	0.75	0.75	15	1092	8	0	5	3	5
3J20_0	tRNA links to Rfam database...	0.54	0.57	0.52	12	1196	12	3	8	1	9
3J2L_3	5S_rRNA links to Rfam database...	0.79	0.76	0.81	26	2988	11	0	6	5	8
3RKF_A	Purine links to Rfam database...	0.87	0.83	0.91	20	844	2	2	0	0	4
3SD1_A	THF links to Rfam database...	0.66	0.69	0.65	20	1502	11	6	5	0	9
3ZEX_C	5_8S_rRNA links to Rfam database...	0.48	0.52	0.45	15	5341	22	4	14	4	14
3ZEX_D	5S_rRNA links to Rfam database...	0.90	0.86	0.94	30	2764	7	0	2	5	5
4A1C_3	5S_rRNA links to Rfam database...	0.88	0.86	0.89	32	2727	7	0	4	3	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.17	0.25	0.13	5	4477	49	13	21	15	15
4AOB_A	SAM links to Rfam database...	0.60	0.59	0.63	17	1410	11	4	6	1	12
4ENB_A	crcB links to Rfam database...	0.81	0.73	0.92	11	460	1	1	0	0	4
4ENC_A	crcB links to Rfam database...	0.52	0.53	0.53	8	481	8	0	7	1	7
4FRG_B	AdoCbl-variant links to Rfam database...	0.38	0.38	0.41	9	1180	13	6	7	0	15

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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 TurboFold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for TurboFold(20)

2. Individual counts for TurboFold(20) [ 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 ]