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

  1. Overview

  2. Performance Plots

  3. Performance of MXScarna(seed) - scored higher in this pairwise comparison

  4. Performance of HotKnots - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) HotKnots
MCC 0.666 > 0.581
Average MCC ± 95% Confidence Intervals 0.663 ± 0.058 > 0.634 ± 0.074
Sensitivity 0.554 > 0.528
Positive Predictive Value 0.804 > 0.643
Total TP 1013 > 965
Total TN 344313 > 344072
Total FP 344 < 613
Total FP CONTRA 45 < 85
Total FP INCONS 202 < 451
Total FP COMP 97 > 77
Total FN 815 < 863
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of MXScarna(seed) and HotKnots. 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 MXScarna(seed) and HotKnots).

  2. Comparison of performance of MXScarna(seed) and HotKnots. 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 MXScarna(seed) and HotKnots).

  3. 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 MXScarna(seed) and HotKnots).

  4. 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 MXScarna(seed) and HotKnots).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and HotKnots. 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 MXScarna(seed) and HotKnots).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and HotKnots. 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 MXScarna(seed) and HotKnots).

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Performance of MXScarna(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 1013
Total TN 344313
Total FP 344
Total FP CONTRA 45
Total FP INCONS 202
Total FP COMP 97
Total FN 815
Total Scores
MCC 0.666
Average MCC ± 95% Confidence Intervals 0.663 ± 0.058
Sensitivity 0.554
Positive Predictive Value 0.804
Nr of predictions 52

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2. Individual counts for MXScarna(seed) [ 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 0.89 0.84 0.94 16 1111 2 0 1 1 3
2KUR_A 0.87 0.81 0.94 17 1110 1 0 1 0 4
2KUU_A 0.84 0.76 0.94 16 1111 2 0 1 1 5
2KUV_A 0.85 0.77 0.94 17 1110 1 0 1 0 5
2KUW_A 0.76 0.67 0.88 14 1112 2 0 2 0 7
2KX8_A -0.01 0.00 0.00 0 859 2 0 2 0 18
2L1F_A 0.91 0.88 0.95 21 2058 1 0 1 0 3
2L1F_B 0.96 0.92 1.00 23 2122 0 0 0 0 2
2L94_A 0.57 0.55 0.61 11 972 7 0 7 0 9
2LC8_A -0.01 0.00 0.00 0 1530 12 0 10 2 20
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2WWQ_V 0.56 0.46 0.68 13 2907 7 0 6 1 15
2XKV_B 0.59 0.55 0.65 11 4543 18 0 6 12 9
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
2XXA_G 0.67 0.57 0.80 24 5121 7 0 6 1 18
2ZZM_B 0.56 0.44 0.74 14 3467 5 4 1 0 18
2ZZN_D 0.86 0.74 1.00 20 2465 0 0 0 0 7
3A2K_C 0.84 0.71 1.00 20 2906 0 0 0 0 8
3A3A_A 0.77 0.65 0.92 24 3629 3 0 2 1 13
3AKZ_H 0.86 0.75 1.00 21 2680 0 0 0 0 7
3AMU_B 0.84 0.70 1.00 19 2984 1 0 0 1 8
3GX2_A 0.70 0.60 0.83 24 4342 6 0 5 1 16
3IVN_B 0.65 0.45 0.93 14 2331 1 1 0 0 17
3IYQ_A 0.45 0.38 0.54 36 60659 37 4 27 6 58
3IZ4_A 0.69 0.55 0.88 72 70794 11 3 7 1 60
3IZF_C 0.67 0.57 0.79 31 6864 9 1 7 1 23
3J16_L 0.82 0.67 1.00 20 2755 0 0 0 0 10
3J20_1 0.93 0.87 1.00 20 2906 0 0 0 0 3
3J20_0 0.79 0.63 1.00 19 2831 0 0 0 0 11
3J2L_3 0.60 0.49 0.74 26 7840 11 1 8 2 27
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3JYX_4 0.38 0.30 0.48 10 12225 21 3 8 10 23
3JYX_3 0.58 0.56 0.60 15 6303 21 1 9 11 12
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3NPB_A 0.69 0.59 0.82 27 6988 9 2 4 3 19
3O58_2 0.79 0.79 0.79 30 7222 10 4 4 2 8
3O58_3 0.45 0.34 0.60 12 12383 19 2 6 11 23
3PDR_A 0.73 0.63 0.87 45 12828 9 2 5 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.63 0.55 0.74 23 3885 8 1 7 0 19
3UZL_B 0.66 0.49 0.90 18 3550 2 1 1 0 19
3W3S_B 0.69 0.60 0.80 24 4723 6 0 6 0 16
3ZEX_C 0.32 0.19 0.53 10 14177 20 2 7 11 42
3ZEX_D 0.76 0.69 0.83 34 6980 7 1 6 0 15
4A1C_3 0.75 0.65 0.88 35 7100 5 1 4 0 19
4A1C_2 0.35 0.24 0.50 8 11765 20 1 7 12 25
4AOB_A 0.66 0.55 0.79 23 4342 7 0 6 1 19
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 1 3 0 13
4FRG_B 0.41 0.31 0.56 10 3468 8 2 6 0 22
4FRN_A 0.62 0.53 0.73 19 5125 7 2 5 0 17

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Performance of HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 965
Total TN 344072
Total FP 613
Total FP CONTRA 85
Total FP INCONS 451
Total FP COMP 77
Total FN 863
Total Scores
MCC 0.581
Average MCC ± 95% Confidence Intervals 0.634 ± 0.074
Sensitivity 0.528
Positive Predictive Value 0.643
Nr of predictions 52

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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_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 24 2121 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
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
3W3S_B 0.55 0.50 0.61 20 4720 14 1 12 1 20
3ZEX_C 0.00 0.00 0.00 0 14150 46 6 40 0 52
3ZEX_D 0.78 0.67 0.92 33 6985 3 0 3 0 16
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

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