CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of HotKnots - scored higher in this pairwise comparison

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

  5. Compile and download dataset for HotKnots & RSpredict(seed) [.zip] - may take several seconds...


Overview

Metric HotKnots RSpredict(seed)
MCC 0.571 > 0.266
Average MCC ± 95% Confidence Intervals 0.614 ± 0.071 > 0.228 ± 0.079
Sensitivity 0.521 > 0.128
Positive Predictive Value 0.632 > 0.561
Total TP 1104 > 271
Total TN 390788 < 392053
Total FP 746 > 222
Total FP CONTRA 97 > 16
Total FP INCONS 547 > 196
Total FP COMP 102 > 10
Total FN 1017 < 1850
P-value 3.56938820447e-08

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Performance plots


  1. 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)).

  2. 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)).

  3. 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 1104
Total TN 390788
Total FP 746
Total FP CONTRA 97
Total FP INCONS 547
Total FP COMP 102
Total FN 1017
Total Scores
MCC 0.571
Average MCC ± 95% Confidence Intervals 0.614 ± 0.071
Sensitivity 0.521
Positive Predictive Value 0.632
Nr of predictions 60

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2WWQ_V 0.76 0.68 0.86 19 2904 5 0 3 2 9
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.34 0.31 0.39 13 5118 20 1 19 0 29
2ZZM_B 0.21 0.19 0.25 6 3462 18 0 18 0 26
2ZZN_D 0.82 0.78 0.88 21 2461 3 0 3 0 6
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3AKZ_H 0.43 0.39 0.48 11 2678 12 2 10 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3GX2_A 0.68 0.55 0.85 22 4345 5 0 4 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.31 0.34 0.29 32 60617 81 22 55 4 62
3IZ4_A 0.51 0.47 0.55 62 70763 52 10 41 1 70
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J16_L 0.26 0.23 0.30 7 2752 16 1 15 0 23
3J20_1 0.73 0.70 0.76 16 2905 7 0 5 2 7
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3J3D_C 0.28 0.25 0.32 7 2753 15 1 14 0 21
3J3E_8 0.10 0.09 0.11 3 7476 33 2 22 9 30
3J3E_7 0.59 0.50 0.71 27 7102 11 1 10 0 27
3J3F_8 0.30 0.31 0.30 11 12209 40 3 23 14 25
3J3F_7 0.73 0.64 0.84 32 7222 7 0 6 1 18
3JYV_7 -0.01 0.00 0.00 0 2828 22 1 21 0 32
3JYX_4 0.32 0.30 0.33 10 12216 31 5 15 11 23
3JYX_3 0.62 0.63 0.61 17 6300 22 1 10 11 10
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.78 0.65 0.94 30 6989 5 0 2 3 16
3O58_2 0.71 0.71 0.71 27 7222 12 4 7 1 11
3O58_3 0.23 0.26 0.21 9 12360 34 10 24 0 26
3PDR_A 0.67 0.56 0.82 40 12831 11 0 9 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.55 0.50 0.61 20 4720 14 1 12 1 20
3ZEX_D 0.78 0.67 0.92 33 6985 3 0 3 0 16
3ZEX_C 0.00 0.00 0.00 0 14150 46 6 40 0 52
3ZND_W 0.20 0.22 0.19 5 2977 22 1 20 1 18
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.14 5 11745 42 6 25 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23
4FRN_A 0.52 0.44 0.62 16 5125 10 2 8 0 20
4JF2_A 0.81 0.77 0.86 24 2822 4 3 1 0 7

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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 271
Total TN 392053
Total FP 222
Total FP CONTRA 16
Total FP INCONS 196
Total FP COMP 10
Total FN 1850
Total Scores
MCC 0.266
Average MCC ± 95% Confidence Intervals 0.228 ± 0.079
Sensitivity 0.128
Positive Predictive Value 0.561
Nr of predictions 60

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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 0.85 0.73 1.00 8 398 0 0 0 0 3
2KE6_A 0.83 0.74 0.93 14 1113 2 0 1 1 5
2KUR_A 0.82 0.71 0.94 15 1112 1 0 1 0 6
2KUU_A 0.79 0.67 0.93 14 1113 2 0 1 1 7
2KUV_A 0.80 0.68 0.94 15 1112 1 0 1 0 7
2KUW_A 0.73 0.62 0.87 13 1113 2 0 2 0 8
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
2L1F_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
2WWQ_V 0.00 0.00 0.00 0 2920 6 1 5 0 28
2XKV_B 0.28 0.20 0.40 4 4550 8 2 4 2 16
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
2XXA_G 0.34 0.17 0.70 7 5141 3 0 3 0 35
2ZZM_B 0.00 0.00 0.00 0 3482 4 0 4 0 32
2ZZN_D 0.43 0.19 1.00 5 2480 0 0 0 0 22
3A2K_C 0.00 0.00 0.00 0 2924 2 0 2 0 28
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3AKZ_H 0.00 0.00 0.00 0 2699 2 0 2 0 28
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3GX2_A 0.36 0.15 0.86 6 4364 1 0 1 0 34
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3IYQ_A 0.14 0.07 0.28 7 60701 19 5 13 1 87
3IZ4_A 0.21 0.08 0.59 10 70859 7 0 7 0 122
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
3J20_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J2L_3 0.00 0.00 0.00 0 7870 5 0 5 0 53
3J3D_C 0.00 0.00 0.00 0 2771 4 1 3 0 28
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3E_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3J3F_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
3W1K_J 0.51 0.29 0.92 11 4174 1 0 1 0 27
3W3S_B 0.41 0.30 0.57 12 4732 10 1 8 1 28
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16
4FRG_B 0.00 0.00 0.00 0 3484 2 0 2 0 32
4FRN_A 0.00 0.00 0.00 0 5148 3 0 3 0 36
4JF2_A 0.00 0.00 0.00 0 2846 4 0 4 0 31

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.