CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	Afold		Alterna
MCC	0.710	>	0.683
Average MCC ± 95% Confidence Intervals	0.717 ± 0.077	>	0.699 ± 0.074
Sensitivity	0.647	>	0.618
Positive Predictive Value	0.788	>	0.763
Total TP	838	>	801
Total TN	91805	<	91819
Total FP	256	<	281
Total FP CONTRA	20	<	29
Total FP INCONS	206	<	220
Total FP COMP	30	<	32
Total FN	458	<	495
P-value	3.56938820447e-08

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Performance plots

Comparison of performance of Afold and Alterna. 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 Afold and Alterna).
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 Afold and Alterna).
Comparison of average Matthews Correlation Coefficients (MCCs) for Afold and Alterna. 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 Afold and Alterna).

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Performance of Afold - scored higher in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP	838
Total TN	91805
Total FP	256
Total FP CONTRA	20
Total FP INCONS	206
Total FP COMP	30
Total FN	458

Total Scores
MCC	0.710
Average MCC ± 95% Confidence Intervals	0.717 ± 0.077
Sensitivity	0.647
Positive Predictive Value	0.788
Nr of predictions	69

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

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2K5Z_A	-	1.00	1.00	1.00	11	395	0	0	0	0	0
2K63_A	-	0.95	0.90	1.00	9	397	0	0	0	0	1
2K66_A	-	0.95	0.90	1.00	9	222	0	0	0	0	1
2KD8_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
2KDQ_B	mir-TAR links to Rfam database...	0.95	0.91	1.00	10	396	0	0	0	0	1
2KE6_A	K10_TLS links to Rfam database...	0.97	0.95	1.00	18	1110	1	0	0	1	1
2KEZ_A	-	0.89	0.80	1.00	8	268	0	0	0	0	2
2KFC_A	-	-0.02	0.00	0.00	0	622	8	0	8	0	20
2KGP_A	-	1.00	1.00	1.00	9	291	1	0	0	1	0
2KMJ_A	-	1.00	1.00	1.00	11	367	0	0	0	0	0
2KPV_A	-	0.96	0.92	1.00	12	549	0	0	0	0	1
2KU0_A	-	0.86	0.75	1.00	12	691	0	0	0	0	4
2KUR_A	K10_TLS links to Rfam database...	0.95	0.90	1.00	19	1109	0	0	0	0	2
2KUU_A	K10_TLS links to Rfam database...	0.92	0.86	1.00	18	1110	1	0	0	1	3
2KUV_A	K10_TLS links to Rfam database...	0.93	0.86	1.00	19	1109	0	0	0	0	3
2KUW_A	K10_TLS links to Rfam database...	0.95	0.90	1.00	19	1109	0	0	0	0	2
2KX8_A	7SK links to Rfam database...	0.94	0.89	1.00	16	845	0	0	0	0	2
2KXM_A	-	0.89	0.80	1.00	8	343	0	0	0	0	2
2KZL_A	-	0.86	0.74	1.00	14	1471	0	0	0	0	5
2L1F_A	Gammaretro_CES links to Rfam database...	0.96	0.96	0.96	23	2056	1	0	1	0	1
2L1F_B	Gammaretro_CES links to Rfam database...	0.96	0.96	0.96	24	2120	1	0	1	0	1
2L2K_A	-	0.94	0.89	1.00	17	844	0	0	0	0	2
2L3C_B	-	0.91	0.82	1.00	14	547	0	0	0	0	3
2L3E_A	-	0.96	0.92	1.00	12	583	1	0	0	1	1
2L3J_B	mir-2985-2 links to Rfam database...	0.94	0.88	1.00	30	2455	0	0	0	0	4
2L5Z_A	-	0.86	0.75	1.00	9	316	0	0	0	0	3
2L94_A	HIV_FE links to Rfam database...	0.97	0.95	1.00	19	971	0	0	0	0	1
2LBS_A	-	1.00	1.00	1.00	14	482	0	0	0	0	0
2LC8_A	GP_knot1 links to Rfam database...	0.61	0.55	0.69	11	1524	6	0	5	1	9
2LDL_A	-	0.90	0.82	1.00	9	342	1	0	0	1	2
2LDT_A	-	0.85	0.73	1.00	11	454	0	0	0	0	4
2LK3_A	-	0.95	0.90	1.00	9	267	0	0	0	0	1
2RP0_A	-	0.58	0.42	0.83	5	345	1	0	1	0	7
2RPT_A	-	1.00	1.00	1.00	7	183	0	0	0	0	0
2WRQ_Y	tRNA links to Rfam database...	0.57	0.59	0.56	10	2832	13	5	3	5	7
2WW9_D	-	0.18	0.15	0.24	4	1936	13	0	13	0	22
2WW9_F	-	0.59	0.60	0.60	6	290	4	0	4	0	4
2WW9_E	-	0.47	0.29	0.80	4	556	1	0	1	0	10
2YIE_Z	-	-0.01	0.00	0.00	0	1525	16	3	12	1	12
2YIE_X	-	0.36	0.33	0.40	4	1368	8	2	4	2	8
2ZY6_A	-	0.55	0.58	0.54	7	690	6	1	5	0	5
2ZZM_B	tRNA links to Rfam database...	0.21	0.19	0.25	6	3462	18	0	18	0	26
2ZZN_D	tRNA links to Rfam database...	0.80	0.74	0.87	20	2462	3	0	3	0	7
3A2K_C	tRNA links to Rfam database...	0.41	0.39	0.44	11	2901	14	2	12	0	17
3A3A_A	tRNA-Sec links to Rfam database...	0.84	0.70	1.00	26	3629	0	0	0	0	11
3ADB_C	-	0.78	0.74	0.82	28	4152	6	0	6	0	10
3AKZ_H	tRNA links to Rfam database...	0.16	0.14	0.19	4	2680	17	2	15	0	24
3AM1_B	-	0.72	0.66	0.79	23	3211	6	0	6	0	12
3DW4_A	-	-0.02	0.00	0.00	0	344	7	0	7	0	10
3GCA_A	-	-0.02	0.00	0.00	0	519	9	0	9	0	17
3HAY_E	-	0.91	0.83	1.00	15	2263	7	0	0	7	3
3HJW_D	-	0.91	0.89	0.94	16	1636	3	0	1	2	2
3IAB_R	-	0.92	0.86	1.00	12	1023	0	0	0	0	2
3ID5_D	-	0.40	0.33	0.50	3	490	6	0	3	3	6
3IVN_B	Purine links to Rfam database...	0.78	0.61	1.00	19	2327	0	0	0	0	12
3IWN_A	c-di-GMP-I links to Rfam database...	0.62	0.58	0.68	19	4250	9	0	9	0	14
3J0L_1	-	0.73	0.63	0.86	12	1211	3	0	2	1	7
3J0L_7	-	-0.01	0.00	0.00	0	1210	15	1	14	0	17
3JYV_7	tRNA links to Rfam database...	-0.01	0.00	0.00	0	2827	23	1	22	0	32
3KTW_C	-	0.71	0.63	0.82	27	4527	7	2	4	1	16
3LA5_A	Purine links to Rfam database...	0.78	0.62	1.00	21	2464	0	0	0	0	13
3NKB_B	-	0.59	0.54	0.67	14	1995	7	0	7	0	12
3NMU_E	-	-0.01	0.00	0.00	0	553	10	1	7	2	6
3OVS_D	-	0.80	0.77	0.83	10	549	2	0	2	0	3
3P22_G	-	0.87	0.83	0.91	10	730	1	0	1	0	2
3R4F_A	-	0.96	0.92	1.00	23	2122	0	0	0	0	2
3RKF_A	Purine links to Rfam database...	0.76	0.59	1.00	20	2191	0	0	0	0	14
3SIU_F	-	0.85	0.73	1.00	8	370	0	0	0	0	3
3SN2_B	IRE_II links to Rfam database...	0.96	0.92	1.00	11	395	0	0	0	0	1

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Performance of Alterna - scored lower in this pairwise comparison

1. Total counts & total scores for Alterna

Total Base Pair Counts
Total TP	801
Total TN	91819
Total FP	281
Total FP CONTRA	29
Total FP INCONS	220
Total FP COMP	32
Total FN	495

Total Scores
MCC	0.683
Average MCC ± 95% Confidence Intervals	0.699 ± 0.074
Sensitivity	0.618
Positive Predictive Value	0.763
Nr of predictions	69

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

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2K5Z_A	-	1.00	1.00	1.00	11	395	0	0	0	0	0
2K63_A	-	0.95	0.90	1.00	9	397	0	0	0	0	1
2K66_A	-	0.95	0.90	1.00	9	222	0	0	0	0	1
2KD8_A	-	1.00	1.00	1.00	9	222	0	0	0	0	0
2KDQ_B	mir-TAR links to Rfam database...	0.95	0.91	1.00	10	396	0	0	0	0	1
2KE6_A	K10_TLS links to Rfam database...	0.92	0.89	0.94	17	1110	2	0	1	1	2
2KEZ_A	-	0.89	0.80	1.00	8	268	0	0	0	0	2
2KFC_A	-	0.49	0.25	1.00	5	625	0	0	0	0	15
2KGP_A	-	1.00	1.00	1.00	9	291	1	0	0	1	0
2KMJ_A	-	1.00	1.00	1.00	11	367	0	0	0	0	0
2KPV_A	-	0.58	0.54	0.64	7	550	4	0	4	0	6
2KU0_A	-	0.35	0.31	0.42	5	691	7	1	6	0	11
2KUR_A	K10_TLS links to Rfam database...	0.90	0.86	0.95	18	1109	1	0	1	0	3
2KUU_A	K10_TLS links to Rfam database...	0.87	0.81	0.94	17	1110	2	0	1	1	4
2KUV_A	K10_TLS links to Rfam database...	0.88	0.82	0.95	18	1109	1	0	1	0	4
2KUW_A	K10_TLS links to Rfam database...	0.95	0.90	1.00	19	1109	0	0	0	0	2
2KX8_A	7SK links to Rfam database...	0.88	0.83	0.94	15	845	1	0	1	0	3
2KXM_A	-	0.70	0.50	1.00	5	346	0	0	0	0	5
2KZL_A	-	0.78	0.74	0.82	14	1468	3	1	2	0	5
2L1F_A	Gammaretro_CES links to Rfam database...	0.98	0.96	1.00	23	2057	0	0	0	0	1
2L1F_B	Gammaretro_CES links to Rfam database...	0.98	0.96	1.00	24	2121	0	0	0	0	1
2L2K_A	-	0.94	0.89	1.00	17	844	0	0	0	0	2
2L3C_B	-	0.91	0.82	1.00	14	547	0	0	0	0	3
2L3E_A	-	0.96	0.92	1.00	12	583	1	0	0	1	1
2L3J_B	mir-2985-2 links to Rfam database...	0.94	0.88	1.00	30	2455	0	0	0	0	4
2L5Z_A	-	0.86	0.75	1.00	9	316	0	0	0	0	3
2L94_A	HIV_FE links to Rfam database...	0.97	0.95	1.00	19	971	0	0	0	0	1
2LBS_A	-	1.00	1.00	1.00	14	482	0	0	0	0	0
2LC8_A	GP_knot1 links to Rfam database...	0.46	0.40	0.53	8	1525	7	0	7	0	12
2LDL_A	-	0.90	0.82	1.00	9	342	1	0	0	1	2
2LDT_A	-	0.85	0.73	1.00	11	454	0	0	0	0	4
2LK3_A	-	0.95	0.90	1.00	9	267	0	0	0	0	1
2RP0_A	-	0.64	0.42	1.00	5	346	0	0	0	0	7
2RPT_A	-	1.00	1.00	1.00	7	183	0	0	0	0	0
2WRQ_Y	tRNA links to Rfam database...	0.57	0.59	0.56	10	2832	13	5	3	5	7
2WW9_D	-	-0.01	0.00	0.00	0	1936	17	1	16	0	26
2WW9_F	-	0.71	0.60	0.86	6	293	1	0	1	0	4
2WW9_E	-	-0.01	0.00	0.00	0	556	5	0	5	0	14
2YIE_Z	-	-0.01	0.00	0.00	0	1525	15	3	12	0	12
2YIE_X	-	0.36	0.33	0.40	4	1368	9	2	4	3	8
2ZY6_A	-	0.58	0.58	0.58	7	691	5	0	5	0	5
2ZZM_B	tRNA links to Rfam database...	0.10	0.09	0.13	3	3463	20	2	18	0	29
2ZZN_D	tRNA links to Rfam database...	0.84	0.78	0.91	21	2462	2	0	2	0	6
3A2K_C	tRNA links to Rfam database...	0.44	0.43	0.46	12	2900	14	2	12	0	16
3A3A_A	tRNA-Sec links to Rfam database...	0.84	0.70	1.00	26	3629	0	0	0	0	11
3ADB_C	-	0.59	0.55	0.64	21	4153	12	0	12	0	17
3AKZ_H	tRNA links to Rfam database...	0.40	0.39	0.42	11	2675	15	4	11	0	17
3AM1_B	-	0.61	0.57	0.67	20	3210	10	1	9	0	15
3DW4_A	-	0.71	0.60	0.86	6	344	2	0	1	1	4
3GCA_A	-	0.54	0.29	1.00	5	523	0	0	0	0	12
3HAY_E	-	0.91	0.83	1.00	15	2263	8	0	0	8	3
3HJW_D	-	0.88	0.83	0.94	15	1637	3	0	1	2	3
3IAB_R	-	0.86	0.86	0.86	12	1021	4	1	1	2	2
3ID5_D	-	-0.01	0.00	0.00	0	491	5	1	4	0	9
3IVN_B	Purine links to Rfam database...	0.74	0.61	0.90	19	2325	2	1	1	0	12
3IWN_A	c-di-GMP-I links to Rfam database...	0.75	0.67	0.85	22	4252	5	0	4	1	11
3J0L_1	-	0.61	0.53	0.71	10	1211	6	0	4	2	9
3J0L_7	-	0.26	0.24	0.31	4	1212	9	0	9	0	13
3JYV_7	tRNA links to Rfam database...	-0.01	0.00	0.00	0	2828	22	0	22	0	32
3KTW_C	-	0.39	0.35	0.45	15	4527	19	1	17	1	28
3LA5_A	Purine links to Rfam database...	0.78	0.62	1.00	21	2464	0	0	0	0	13
3NKB_B	-	0.35	0.31	0.42	8	1997	11	0	11	0	18
3NMU_E	-	-0.01	0.00	0.00	0	553	10	2	6	2	6
3OVS_D	-	0.96	0.92	1.00	12	549	0	0	0	0	1
3P22_G	-	0.96	0.92	1.00	11	730	0	0	0	0	1
3R4F_A	-	0.96	0.92	1.00	23	2122	0	0	0	0	2
3RKF_A	Purine links to Rfam database...	0.69	0.56	0.86	19	2189	3	1	2	0	15
3SIU_F	-	0.59	0.55	0.67	6	369	3	0	3	0	5
3SN2_B	IRE_II links to Rfam database...	0.91	0.83	1.00	10	396	0	0	0	0	2

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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 Afold - scored higher in this pairwise comparison

1. Total counts & total scores for Afold

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

Performance of Alterna - scored lower in this pairwise comparison

1. Total counts & total scores for Alterna

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