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		RSpredict(seed)
MCC	0.701	>	0.372
Average MCC ± 95% Confidence Intervals	0.752 ± 0.086	>	0.306 ± 0.107
Sensitivity	0.732	>	0.222
Positive Predictive Value	0.676	>	0.636
Total TP	786	>	238
Total TN	110049	<	110837
Total FP	539	>	161
Total FP CONTRA	145	>	28
Total FP INCONS	231	>	108
Total FP COMP	163	>	25
Total FN	288	<	836
P-value	3.56938820447e-08

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Performance plots

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

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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	786
Total TN	110049
Total FP	539
Total FP CONTRA	145
Total FP INCONS	231
Total FP COMP	163
Total FN	288

Total Scores
MCC	0.701
Average MCC ± 95% Confidence Intervals	0.752 ± 0.086
Sensitivity	0.732
Positive Predictive Value	0.676
Nr of predictions	44

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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
2KDQ_B	mir-TAR links to Rfam database...	1.00	1.00	1.00	10	164	0	0	0	0	0
2KE6_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	18	449	1	0	0	1	0
2KUR_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	19	448	0	0	0	0	0
2KUU_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	18	429	1	0	0	1	0
2KUV_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	19	420	0	0	0	0	0
2KUW_A	K10_TLS links to Rfam database...	1.00	1.00	1.00	18	452	1	0	0	1	0
2KX8_A	7SK links to Rfam database...	1.00	1.00	1.00	16	355	0	0	0	0	0
2L1F_A	Gammaretro_CES links to Rfam database...	1.00	1.00	1.00	23	740	0	0	0	0	0
2L1F_B	Gammaretro_CES links to Rfam database...	1.00	1.00	1.00	24	767	0	0	0	0	0
2L94_A	HIV_FE links to Rfam database...	1.00	1.00	1.00	18	339	1	0	0	1	0
2LC8_A	GP_knot1 links to Rfam database...	0.64	0.61	0.69	11	512	5	0	5	0	7
2WRQ_Y	tRNA links to Rfam database...	1.00	1.00	1.00	9	1143	14	0	0	14	0
2WWQ_V	tRNA links to Rfam database...	1.00	1.00	1.00	19	1185	5	0	0	5	0
2XKV_B	Bacteria_small_SRP links to Rfam database...	0.64	0.73	0.57	8	1821	25	0	6	19	3
2XQD_Y	tRNA links to Rfam database...	0.98	0.95	1.00	20	1109	1	0	0	1	1
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.35	0.34	0.38	12	2013	21	1	19	1	23
2ZZM_B	tRNA links to Rfam database...	0.25	0.27	0.25	4	1342	20	3	9	8	11
2ZZN_D	tRNA links to Rfam database...	0.93	0.95	0.91	21	961	3	2	0	1	1
3A2K_C	tRNA links to Rfam database...	0.47	0.50	0.46	11	1084	13	3	10	0	11
3A3A_A	tRNA-Sec links to Rfam database...	0.97	0.93	1.00	28	1472	0	0	0	0	2
3AKZ_H	tRNA links to Rfam database...	0.48	0.50	0.48	10	1106	13	4	7	2	10
3AMU_B	tRNA links to Rfam database...	0.81	0.79	0.83	15	1139	6	0	3	3	4
3GX2_A	SAM links to Rfam database...	0.81	0.79	0.85	22	1423	5	2	2	1	6
3IVN_B	Purine links to Rfam database...	0.91	0.83	1.00	19	884	0	0	0	0	4
3IYQ_A	tmRNA links to Rfam database...	0.24	0.33	0.17	17	22341	96	47	35	14	34
3IZ4_A	tmRNA links to Rfam database...	0.56	0.60	0.52	57	25426	57	26	27	4	38
3IZF_C	5S_rRNA links to Rfam database...	0.89	0.91	0.86	32	2603	9	0	5	4	3
3J16_L	tRNA links to Rfam database...	0.31	0.33	0.30	7	1136	16	3	13	0	14
3JYV_7	tRNA links to Rfam database...	-0.02	0.00	0.00	0	1089	22	4	18	0	20
3JYX_4	5_8S_rRNA links to Rfam database...	0.61	0.83	0.45	10	4734	31	10	2	19	2
3JYX_3	5S_rRNA links to Rfam database...	0.77	0.80	0.75	12	2362	27	0	4	23	3
3LA5_A	Purine links to Rfam database...	0.91	0.84	1.00	21	933	0	0	0	0	4
3NPB_A	SAM links to Rfam database...	0.85	0.78	0.94	29	2247	6	0	2	4	8
3O58_2	5S_rRNA links to Rfam database...	0.87	0.87	0.87	27	2723	12	0	4	8	4
3O58_3	5_8S_rRNA links to Rfam database...	0.26	0.36	0.19	8	4722	35	16	18	1	14
3PDR_A	ykoK links to Rfam database...	0.81	0.80	0.82	40	4791	11	3	6	2	10
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...	0.77	0.76	0.79	22	1505	6	4	2	0	7
3UZL_B	tRNA links to Rfam database...	0.49	0.50	0.50	8	1277	15	0	8	7	8
4A1C_2	5_8S_rRNA links to Rfam database...	0.19	0.25	0.15	5	4483	42	12	16	14	15
4A1C_3	5S_rRNA links to Rfam database...	0.88	0.86	0.89	32	2727	7	0	4	3	5
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...	1.00	1.00	1.00	15	457	0	0	0	0	0
4ENC_A	crcB links to Rfam database...	0.97	1.00	0.94	15	480	1	1	0	0	0

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(seed)

Total Base Pair Counts
Total TP	238
Total TN	110837
Total FP	161
Total FP CONTRA	28
Total FP INCONS	108
Total FP COMP	25
Total FN	836

Total Scores
MCC	0.372
Average MCC ± 95% Confidence Intervals	0.306 ± 0.107
Sensitivity	0.222
Positive Predictive Value	0.636
Nr of predictions	44

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2. Individual counts for RSpredict(seed) [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KDQ_B	mir-TAR links to Rfam database...	0.89	0.80	1.00	8	166	0	0	0	0	2
2KE6_A	K10_TLS links to Rfam database...	0.85	0.78	0.93	14	452	2	0	1	1	4
2KUR_A	K10_TLS links to Rfam database...	0.86	0.79	0.94	15	451	1	0	1	0	4
2KUU_A	K10_TLS links to Rfam database...	0.85	0.78	0.93	14	432	2	0	1	1	4
2KUV_A	K10_TLS links to Rfam database...	0.85	0.79	0.94	15	423	1	0	1	0	4
2KUW_A	K10_TLS links to Rfam database...	0.75	0.67	0.86	12	456	3	0	2	1	6
2KX8_A	7SK links to Rfam database...	-0.01	0.00	0.00	0	370	1	0	1	0	16
2L1F_A	Gammaretro_CES links to Rfam database...	0.81	0.78	0.86	18	742	3	0	3	0	5
2L1F_B	Gammaretro_CES links to Rfam database...	0.87	0.83	0.91	20	769	2	0	2	0	4
2L94_A	HIV_FE links to Rfam database...	0.55	0.50	0.64	9	343	6	0	5	1	9
2LC8_A	GP_knot1 links to Rfam database...	-0.03	0.00	0.00	0	515	13	0	13	0	18
2WRQ_Y	tRNA links to Rfam database...	0.00	0.00	0.00	0	1150	3	1	1	1	9
2WWQ_V	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1199	6	0	5	1	19
2XKV_B	Bacteria_small_SRP links to Rfam database...	0.38	0.36	0.40	4	1825	8	4	2	2	7
2XQD_Y	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1124	5	0	5	0	21
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.37	0.20	0.70	7	2035	3	0	3	0	28
2ZZM_B	tRNA links to Rfam database...	0.00	0.00	0.00	0	1358	4	0	0	4	15
2ZZN_D	tRNA links to Rfam database...	0.38	0.18	0.80	4	979	1	1	0	0	18
3A2K_C	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1106	2	0	2	0	22
3A3A_A	tRNA-Sec links to Rfam database...	0.53	0.37	0.79	11	1486	3	0	3	0	19
3AKZ_H	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1125	2	0	2	0	20
3AMU_B	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1155	2	0	2	0	19
3GX2_A	SAM links to Rfam database...	0.42	0.21	0.86	6	1442	1	0	1	0	22
3IVN_B	Purine links to Rfam database...	0.81	0.70	0.94	16	886	1	1	0	0	7
3IYQ_A	tmRNA links to Rfam database...	0.16	0.10	0.26	5	22421	21	10	4	7	46
3IZ4_A	tmRNA links to Rfam database...	0.26	0.11	0.63	10	25520	7	2	4	1	85
3IZF_C	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2635	5	0	5	0	35
3J16_L	tRNA links to Rfam database...	0.00	0.00	0.00	0	1158	1	0	1	0	21
3JYV_7	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1108	4	0	3	1	20
3JYX_4	5_8S_rRNA links to Rfam database...	0.00	0.00	0.00	0	4754	5	0	2	3	12
3JYX_3	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2373	5	1	4	0	15
3LA5_A	Purine links to Rfam database...	0.82	0.68	1.00	17	937	0	0	0	0	8
3NPB_A	SAM links to Rfam database...	-0.01	0.00	0.00	0	2274	4	0	4	0	37
3O58_2	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2751	3	0	3	0	31
3O58_3	5_8S_rRNA links to Rfam database...	0.28	0.14	0.60	3	4759	2	0	2	0	19
3PDR_A	ykoK links to Rfam database...	0.00	0.00	0.00	0	4832	8	0	8	0	50
3RKF_A	Purine links to Rfam database...	0.84	0.75	0.95	18	847	1	1	0	0	6
3SD1_A	THF links to Rfam database...	0.00	0.00	0.00	0	1533	0	0	0	0	29
3UZL_B	tRNA links to Rfam database...	-0.01	0.00	0.00	0	1287	6	3	3	0	16
4A1C_2	5_8S_rRNA links to Rfam database...	0.00	0.00	0.00	0	4512	5	2	2	1	20
4A1C_3	5S_rRNA links to Rfam database...	0.00	0.00	0.00	0	2759	4	2	2	0	37
4AOB_A	SAM links to Rfam database...	0.42	0.21	0.86	6	1430	1	0	1	0	23
4ENB_A	crcB links to Rfam database...	0.34	0.20	0.60	3	467	2	0	2	0	12
4ENC_A	crcB links to Rfam database...	0.34	0.20	0.60	3	491	2	0	2	0	12

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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 RSpredict(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(seed)

2. Individual counts for RSpredict(seed) [ download as .csv ]