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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots RSpredict(seed)
MCC 0.567 > 0.276
Average MCC ± 95% Confidence Intervals 0.619 ± 0.076 > 0.230 ± 0.082
Sensitivity 0.516 > 0.134
Positive Predictive Value 0.629 > 0.576
Total TP 977 > 254
Total TN 259381 < 260493
Total FP 662 > 196
Total FP CONTRA 74 > 11
Total FP INCONS 502 > 176
Total FP COMP 86 > 9
Total FN 918 < 1641
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 977
Total TN 259381
Total FP 662
Total FP CONTRA 74
Total FP INCONS 502
Total FP COMP 86
Total FN 918
Total Scores
MCC 0.567
Average MCC ± 95% Confidence Intervals 0.619 ± 0.076
Sensitivity 0.516
Positive Predictive Value 0.629
Nr of predictions 58

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2. Individual counts for Pknots [ 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 0.92 0.90 0.95 18 971 1 0 1 0 2
2LC8_A 0.79 0.75 0.83 15 1522 3 1 2 0 5
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2WWQ_V 0.24 0.21 0.29 6 2905 16 1 14 1 22
2XKV_B 0.23 0.25 0.22 5 4537 31 1 17 13 15
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.32 0.31 0.34 13 5113 25 1 24 0 29
2ZZM_B 0.20 0.19 0.23 6 3460 20 2 18 0 26
2ZZN_D 0.86 0.78 0.95 21 2463 1 0 1 0 6
3A2K_C 0.45 0.43 0.48 12 2901 13 2 11 0 16
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3AKZ_H 0.84 0.75 0.95 21 2679 1 1 0 0 7
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3GX2_A 0.47 0.40 0.55 16 4342 14 1 12 1 24
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J16_L 0.34 0.30 0.41 9 2753 13 0 13 0 21
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J2L_3 0.62 0.51 0.75 27 7839 12 0 9 3 26
3J3D_C 0.46 0.43 0.50 12 2751 12 1 11 0 16
3J3E_8 0.07 0.06 0.08 2 7479 33 2 20 11 31
3J3E_7 0.43 0.35 0.54 19 7105 16 1 15 0 35
3J3F_7 0.27 0.24 0.32 12 7222 27 1 25 1 38
3J3F_8 0.36 0.36 0.37 13 12211 34 2 20 12 23
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.18 0.21 0.16 7 12203 41 13 23 5 26
3JYX_3 0.34 0.37 0.31 10 6296 24 9 13 2 17
3LA5_A 0.80 0.65 1.00 22 2463 0 0 0 0 12
3NPB_A 0.76 0.67 0.86 31 6985 8 1 4 3 15
3O58_2 0.83 0.74 0.93 28 7230 3 0 2 1 10
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
3UZL_B 0.75 0.59 0.96 22 3547 1 0 1 0 15
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.71 0.63 0.81 25 4722 7 0 6 1 15
3ZEX_D 0.27 0.24 0.30 12 6981 28 0 28 0 37
3ZEX_C 0.07 0.08 0.07 4 14141 54 4 47 3 48
3ZND_W 0.20 0.22 0.19 5 2977 23 1 20 2 18
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.48 0.38 0.63 12 3467 7 0 7 0 20
4FRN_A 0.51 0.42 0.63 15 5127 9 1 8 0 21
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 254
Total TN 260493
Total FP 196
Total FP CONTRA 11
Total FP INCONS 176
Total FP COMP 9
Total FN 1641
Total Scores
MCC 0.276
Average MCC ± 95% Confidence Intervals 0.230 ± 0.082
Sensitivity 0.134
Positive Predictive Value 0.576
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
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_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_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.