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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RSpredict(seed)
MCC 0.565 > 0.375
Average MCC ± 95% Confidence Intervals 0.613 ± 0.063 > 0.235 ± 0.079
Sensitivity 0.486 > 0.220
Positive Predictive Value 0.657 > 0.642
Total TP 1338 > 606
Total TN 1507266 < 1508357
Total FP 812 > 351
Total FP CONTRA 76 > 25
Total FP INCONS 621 > 313
Total FP COMP 115 > 13
Total FN 1416 < 2148
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of Sfold 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 Sfold 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 Sfold and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Sfold 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 Sfold and RSpredict(seed)).

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 1338
Total TN 1507266
Total FP 812
Total FP CONTRA 76
Total FP INCONS 621
Total FP COMP 115
Total FN 1416
Total Scores
MCC 0.565
Average MCC ± 95% Confidence Intervals 0.613 ± 0.063
Sensitivity 0.486
Positive Predictive Value 0.657
Nr of predictions 61

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2. Individual counts for Sfold [ 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 0.92 0.89 0.94 17 1110 2 0 1 1 2
2KUR_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2KUU_A 0.87 0.81 0.94 17 1110 2 0 1 1 4
2KUV_A 0.88 0.82 0.95 18 1109 1 0 1 0 4
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_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 0.45 0.35 0.58 7 1528 5 0 5 0 13
2WRQ_Y 0.53 0.53 0.53 9 2833 13 5 3 5 8
2WWQ_V 0.80 0.68 0.95 19 2906 2 0 1 1 9
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
2XXA_G 0.36 0.31 0.43 13 5121 17 1 16 0 29
2ZZM_B 0.12 0.09 0.17 3 3468 15 0 15 0 29
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 0.44 0.39 0.50 11 2679 11 2 9 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3GX2_A 0.72 0.55 0.96 22 4348 2 0 1 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.33 0.34 0.32 32 60627 71 19 48 4 62
3IZ4_A 0.52 0.42 0.65 56 70790 31 3 27 1 76
3IZF_C 0.71 0.61 0.83 33 6863 7 0 7 0 21
3J16_L 0.29 0.23 0.37 7 2756 12 0 12 0 23
3J20_1 0.73 0.70 0.76 16 2905 6 0 5 1 7
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J20_2 0.47 0.41 0.55 261 1116287 220 14 203 3 372
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3J3D_C 0.36 0.25 0.54 7 2762 6 0 6 0 21
3J3E_8 0.06 0.06 0.08 2 7477 32 2 22 8 31
3J3E_7 0.60 0.50 0.73 27 7103 10 1 9 0 27
3J3F_7 0.69 0.60 0.79 30 7222 8 1 7 0 20
3J3F_8 0.35 0.33 0.38 12 12214 34 3 17 14 24
3JYV_7 -0.01 0.00 0.00 0 2834 16 0 16 0 32
3JYX_3 0.62 0.63 0.61 17 6300 19 1 10 8 10
3JYX_4 0.35 0.30 0.42 10 12222 23 3 11 9 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.77 0.65 0.91 30 6988 6 1 2 3 16
3O58_3 0.43 0.34 0.55 12 12381 17 0 10 7 23
3O58_2 0.74 0.74 0.74 28 7222 11 3 7 1 10
3PDR_A 0.69 0.56 0.85 40 12833 9 0 7 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.65 0.50 0.84 21 3891 4 1 3 0 21
3UZL_B 0.51 0.32 0.80 12 3555 3 2 1 0 25
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.57 0.53 0.64 21 4720 13 1 11 1 19
3ZEX_C 0.32 0.21 0.48 11 14173 26 1 11 14 41
3ZEX_D 0.74 0.63 0.86 31 6985 5 0 5 0 18
3ZND_W 0.20 0.22 0.19 5 2977 22 1 20 1 18
4A1C_2 0.16 0.15 0.17 5 11751 34 2 23 9 28
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4FRG_B 0.62 0.47 0.83 15 3468 3 1 2 0 17
4FRN_A 0.63 0.44 0.89 16 5133 2 2 0 0 20
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12

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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 606
Total TN 1508357
Total FP 351
Total FP CONTRA 25
Total FP INCONS 313
Total FP COMP 13
Total FN 2148
Total Scores
MCC 0.375
Average MCC ± 95% Confidence Intervals 0.235 ± 0.079
Sensitivity 0.220
Positive Predictive Value 0.642
Nr of predictions 61

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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_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
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
3J20_2 0.62 0.53 0.73 335 1116304 129 9 117 3 298
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_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
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_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
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_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
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.