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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric PknotsRG Mastr(seed)
MCC 0.591 > 0.236
Average MCC ± 95% Confidence Intervals 0.640 ± 0.067 > 0.108 ± 0.078
Sensitivity 0.533 > 0.062
Positive Predictive Value 0.659 < 0.900
Total TP 1005 > 117
Total TN 351430 < 352824
Total FP 616 > 15
Total FP CONTRA 77 > 0
Total FP INCONS 442 > 13
Total FP COMP 97 > 2
Total FN 880 < 1768
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of PknotsRG and Mastr(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 PknotsRG and Mastr(seed)).

  2. Comparison of performance of PknotsRG and Mastr(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 PknotsRG and Mastr(seed)).

  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 PknotsRG and Mastr(seed)).

  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 PknotsRG and Mastr(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for PknotsRG and Mastr(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 PknotsRG and Mastr(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for PknotsRG and Mastr(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 PknotsRG and Mastr(seed)).

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Performance of PknotsRG - scored higher in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 1005
Total TN 351430
Total FP 616
Total FP CONTRA 77
Total FP INCONS 442
Total FP COMP 97
Total FN 880
Total Scores
MCC 0.591
Average MCC ± 95% Confidence Intervals 0.640 ± 0.067
Sensitivity 0.533
Positive Predictive Value 0.659
Nr of predictions 53

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2. Individual counts for PknotsRG [ 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 0.86 0.84 0.89 16 1110 3 0 2 1 3
2KUR_A 0.85 0.81 0.89 17 1109 2 0 2 0 4
2KUU_A 0.82 0.76 0.89 16 1110 3 0 2 1 5
2KUV_A 0.83 0.77 0.89 17 1109 2 0 2 0 5
2KUW_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
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 0.63 0.55 0.73 11 1525 4 1 3 0 9
2WRQ_Y 0.53 0.53 0.53 9 2833 13 5 3 5 8
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 22 0 9 13 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 0.84 0.78 0.91 21 2462 2 0 2 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 0.41 0.39 0.44 11 2676 14 4 10 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3G4S_9 0.54 0.42 0.71 24 7347 10 1 9 0 33
3GX2_A 0.67 0.55 0.81 22 4344 6 0 5 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.31 0.33 0.28 31 60617 80 24 54 2 63
3IZ4_A 0.51 0.47 0.55 62 70763 52 10 41 1 70
3IZF_C 0.59 0.52 0.67 28 6861 14 1 13 0 26
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 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_3 0.62 0.63 0.61 17 6300 22 1 10 11 10
3JYX_4 0.31 0.30 0.32 10 12215 33 5 16 12 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.83 0.72 0.97 33 6987 3 0 1 2 13
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3O58_2 0.59 0.61 0.58 23 7220 19 4 13 2 15
3PDR_A 0.75 0.63 0.90 45 12830 7 1 4 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
3W3S_B 0.58 0.53 0.66 21 4721 12 1 10 1 19
3ZEX_C 0.24 0.21 0.28 11 14157 43 1 27 15 41
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 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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Performance of Mastr(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 117
Total TN 352824
Total FP 15
Total FP CONTRA 0
Total FP INCONS 13
Total FP COMP 2
Total FN 1768
Total Scores
MCC 0.236
Average MCC ± 95% Confidence Intervals 0.108 ± 0.078
Sensitivity 0.062
Positive Predictive Value 0.900
Nr of predictions 53

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.00 0.00 0.00 0 406 0 0 0 0 11
2KE6_A 0.92 0.84 1.00 16 1112 1 0 0 1 3
2KUR_A 0.79 0.71 0.88 15 1111 2 0 2 0 6
2KUU_A 0.76 0.67 0.88 14 1112 3 0 2 1 7
2KUV_A 0.77 0.68 0.88 15 1111 2 0 2 0 7
2KUW_A 0.52 0.48 0.59 10 1111 7 0 7 0 11
2KX8_A 0.00 0.00 0.00 0 861 0 0 0 0 18
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 0.00 0.00 0.00 0 990 0 0 0 0 20
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
2WRQ_Y 0.00 0.00 0.00 0 2850 0 0 0 0 17
2WWQ_V 0.00 0.00 0.00 0 2926 0 0 0 0 28
2XKV_B 0.00 0.00 0.00 0 4560 0 0 0 0 20
2XQD_Y 0.00 0.00 0.00 0 2850 0 0 0 0 27
2XXA_G 0.00 0.00 0.00 0 5151 0 0 0 0 42
2ZZM_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
2ZZN_D 0.00 0.00 0.00 0 2485 0 0 0 0 27
3A2K_C 0.00 0.00 0.00 0 2926 0 0 0 0 28
3A3A_A 0.00 0.00 0.00 0 3655 0 0 0 0 37
3AKZ_H 0.00 0.00 0.00 0 2701 0 0 0 0 28
3AMU_B 0.00 0.00 0.00 0 3003 0 0 0 0 27
3G4S_9 0.00 0.00 0.00 0 7381 0 0 0 0 57
3GX2_A 0.00 0.00 0.00 0 4371 0 0 0 0 40
3IVN_B 0.00 0.00 0.00 0 2346 0 0 0 0 31
3IYQ_A 0.00 0.00 0.00 0 60726 0 0 0 0 94
3IZ4_A 0.00 0.00 0.00 0 70876 0 0 0 0 132
3IZF_C 0.00 0.00 0.00 0 6903 0 0 0 0 54
3J16_L 0.00 0.00 0.00 0 2775 0 0 0 0 30
3J20_1 0.00 0.00 0.00 0 2926 0 0 0 0 23
3J20_0 0.00 0.00 0.00 0 2850 0 0 0 0 30
3J2L_3 0.00 0.00 0.00 0 7875 0 0 0 0 53
3JYV_7 0.00 0.00 0.00 0 2850 0 0 0 0 32
3JYX_3 0.00 0.00 0.00 0 6328 0 0 0 0 27
3JYX_4 0.00 0.00 0.00 0 12246 0 0 0 0 33
3LA5_A 0.00 0.00 0.00 0 2485 0 0 0 0 34
3NPB_A 0.00 0.00 0.00 0 7021 0 0 0 0 46
3O58_3 0.00 0.00 0.00 0 12403 0 0 0 0 35
3O58_2 0.00 0.00 0.00 0 7260 0 0 0 0 38
3PDR_A 0.00 0.00 0.00 0 12880 0 0 0 0 72
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3570 0 0 0 0 37
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
3ZEX_C 0.00 0.00 0.00 0 14196 0 0 0 0 52
3ZEX_D 0.00 0.00 0.00 0 7021 0 0 0 0 49
4A1C_3 0.00 0.00 0.00 0 7140 0 0 0 0 54
4A1C_2 0.00 0.00 0.00 0 11781 0 0 0 0 33
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19
4FRG_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
4FRN_A 0.00 0.00 0.00 0 5151 0 0 0 0 36

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