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

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold5 - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Vsfold5 & RSpredict(seed) [.zip] - may take several seconds...


Overview

Metric Vsfold5 RSpredict(seed)
MCC 0.478 > 0.264
Average MCC ± 95% Confidence Intervals 0.532 ± 0.084 > 0.226 ± 0.081
Sensitivity 0.415 > 0.127
Positive Predictive Value 0.557 < 0.557
Total TP 843 > 258
Total TN 372641 < 373691
Total FP 755 > 215
Total FP CONTRA 89 > 15
Total FP INCONS 581 > 190
Total FP COMP 85 > 10
Total FN 1188 < 1773
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of Vsfold5 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 Vsfold5 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 Vsfold5 and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold5 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 Vsfold5 and RSpredict(seed)).

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Performance of Vsfold5 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 843
Total TN 372641
Total FP 755
Total FP CONTRA 89
Total FP INCONS 581
Total FP COMP 85
Total FN 1188
Total Scores
MCC 0.478
Average MCC ± 95% Confidence Intervals 0.532 ± 0.084
Sensitivity 0.415
Positive Predictive Value 0.557
Nr of predictions 58

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2. Individual counts for Vsfold5 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.90 0.82 1.00 9 397 0 0 0 0 2
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 0.91 0.83 1.00 15 846 0 0 0 0 3
2L1F_A 0.69 0.58 0.82 14 2063 3 0 3 0 10
2L1F_B 0.70 0.60 0.83 15 2127 3 0 3 0 10
2L94_A 0.95 0.90 1.00 18 972 0 0 0 0 2
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2WRQ_Y 0.53 0.53 0.53 9 2833 12 5 3 4 8
2WWQ_V 0.64 0.50 0.82 14 2909 4 0 3 1 14
2XKV_B -0.01 0.00 0.00 0 4528 32 12 20 0 20
2XQD_Y 0.86 0.74 1.00 20 2830 0 0 0 0 7
2XXA_G -0.01 0.00 0.00 0 5120 31 2 29 0 42
2ZZM_B 0.19 0.19 0.21 6 3458 22 1 21 0 26
2ZZN_D 0.86 0.78 0.95 21 2463 1 0 1 0 6
3A2K_C 0.84 0.71 1.00 20 2906 0 0 0 0 8
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3AKZ_H 0.84 0.71 1.00 20 2681 0 0 0 0 8
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3GX2_A 0.51 0.40 0.67 16 4347 9 0 8 1 24
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3IYQ_A 0.33 0.31 0.35 29 60642 61 15 40 6 65
3IZ4_A 0.29 0.24 0.36 32 70787 62 8 49 5 100
3IZF_C 0.70 0.56 0.88 30 6869 4 0 4 0 24
3J16_L 0.82 0.67 1.00 20 2755 0 0 0 0 10
3J20_0 0.67 0.57 0.81 17 2829 5 1 3 1 13
3J20_1 0.71 0.70 0.73 16 2904 6 0 6 0 7
3J2L_3 0.56 0.45 0.71 24 7841 13 1 9 3 29
3J3D_C 0.60 0.54 0.68 15 2753 7 0 7 0 13
3J3E_7 0.47 0.37 0.61 20 7107 13 0 13 0 34
3J3E_8 0.06 0.06 0.08 2 7477 31 5 19 7 31
3J3F_8 0.33 0.33 0.33 12 12210 35 5 19 11 24
3J3F_7 0.21 0.18 0.26 9 7226 25 1 24 0 41
3JYV_7 -0.01 0.00 0.00 0 2831 19 0 19 0 32
3JYX_4 0.31 0.30 0.31 10 12214 32 3 19 10 23
3JYX_3 0.17 0.15 0.20 4 6308 18 4 12 2 23
3LA5_A -0.01 0.00 0.00 0 2469 16 0 16 0 34
3NPB_A 0.57 0.46 0.72 21 6992 9 1 7 1 25
3O58_2 0.45 0.42 0.48 16 7227 19 3 14 2 22
3O58_3 0.39 0.37 0.41 13 12371 28 7 12 9 22
3PDR_A 0.57 0.44 0.74 32 12837 13 0 11 2 40
3RKF_A 0.75 0.65 0.88 22 2186 3 0 3 0 12
3SD1_A 0.11 0.10 0.15 4 3890 22 0 22 0 38
3UZL_B 0.16 0.14 0.20 5 3545 20 1 19 0 32
3W3S_B 0.76 0.70 0.82 28 4719 7 1 5 1 12
3ZEX_D 0.08 0.06 0.11 3 6994 24 0 24 0 46
3ZND_W 0.41 0.39 0.43 9 2982 14 2 10 2 14
4A1C_2 0.24 0.24 0.24 8 11748 37 3 22 12 25
4A1C_3 0.26 0.22 0.32 12 7103 25 2 23 0 42
4AOB_A 0.18 0.14 0.25 6 4347 19 1 17 1 36
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 0.56 0.47 0.68 15 3464 7 1 6 0 17
4FRN_A 0.13 0.11 0.17 4 5128 19 2 17 0 32
4JF2_A 0.84 0.77 0.92 24 2824 2 1 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 258
Total TN 373691
Total FP 215
Total FP CONTRA 15
Total FP INCONS 190
Total FP COMP 10
Total FN 1773
Total Scores
MCC 0.264
Average MCC ± 95% Confidence Intervals 0.226 ± 0.081
Sensitivity 0.127
Positive Predictive Value 0.557
Nr of predictions 58

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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_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
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_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
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
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
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.