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 0.668 > 0.326
Average MCC ± 95% Confidence Intervals 0.703 ± 0.082 > 0.247 ± 0.088
Sensitivity 0.704 > 0.187
Positive Predictive Value 0.643 > 0.584
Total TP 942 > 250
Total TN 98428 < 99464
Total FP 697 > 200
Total FP CONTRA 163 > 25
Total FP INCONS 359 > 153
Total FP COMP 175 > 22
Total FN 396 < 1088
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 942
Total TN 98428
Total FP 697
Total FP CONTRA 163
Total FP INCONS 359
Total FP COMP 175
Total FN 396
Total Scores
MCC 0.668
Average MCC ± 95% Confidence Intervals 0.703 ± 0.082
Sensitivity 0.704
Positive Predictive Value 0.643
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 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2LC8_A 0.83 0.83 0.83 15 510 3 2 1 0 3
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
2WWQ_V 0.29 0.32 0.29 6 1183 16 3 12 1 13
2XKV_B 0.21 0.27 0.17 3 1817 33 3 12 18 8
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.32 0.34 0.32 12 2008 26 1 24 1 23
2ZZM_B 0.18 0.20 0.19 3 1342 23 4 9 10 12
2ZZN_D 0.95 0.95 0.95 21 962 1 1 0 0 1
3A2K_C 0.50 0.55 0.48 12 1083 13 3 10 0 10
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3AKZ_H 1.00 1.00 1.00 20 1107 2 0 0 2 0
3AMU_B 1.00 1.00 1.00 19 1138 3 0 0 3 0
3GX2_A 0.55 0.57 0.55 16 1420 14 4 9 1 12
3IVN_B 0.91 0.87 0.95 20 882 1 0 1 0 3
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3J16_L 0.41 0.43 0.41 9 1137 13 1 12 0 12
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J2L_3 0.79 0.79 0.79 27 2986 12 1 6 5 7
3J3D_C 0.46 0.53 0.42 10 944 14 5 9 0 9
3J3E_8 0.10 0.13 0.09 2 2720 33 5 15 13 13
3J3E_7 0.56 0.56 0.58 19 2708 16 2 12 2 15
3J3F_7 0.32 0.33 0.32 12 2896 27 2 24 1 24
3J3F_8 0.42 0.53 0.33 10 4731 37 10 10 17 9
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.33 0.58 0.19 7 4720 41 22 7 12 5
3JYX_3 0.37 0.53 0.27 8 2348 26 17 5 4 7
3LA5_A 0.94 0.88 1.00 22 932 0 0 0 0 3
3NPB_A 0.84 0.81 0.88 30 2244 9 0 4 5 7
3O58_2 0.93 0.90 0.97 28 2725 3 0 1 2 3
3O58_3 0.32 0.45 0.24 10 4722 39 18 14 7 12
3PDR_A 0.64 0.64 0.65 32 4791 19 4 13 2 18
3RKF_A 0.91 0.88 0.95 21 844 1 0 1 0 3
3SD1_A 0.78 0.76 0.81 22 1506 5 1 4 0 7
3UZL_B 1.00 1.00 1.00 16 1277 7 0 0 7 0
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.78 0.76 0.81 25 1958 7 1 5 1 8
3ZEX_D 0.31 0.34 0.30 12 2756 28 5 23 0 23
3ZEX_C 0.10 0.14 0.08 4 5322 54 13 35 6 25
3ZND_W 0.24 0.38 0.16 3 1172 25 9 7 9 5
4A1C_3 0.28 0.30 0.28 11 2723 30 4 25 1 26
4A1C_2 0.33 0.40 0.29 8 4488 36 9 11 16 12
4AOB_A 0.19 0.21 0.21 6 1409 23 3 19 1 23
4ENB_A 1.00 1.00 1.00 15 457 2 0 0 2 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.55 0.50 0.63 12 1183 7 0 7 0 12
4FRN_A 0.57 0.54 0.63 15 1824 9 3 6 0 13
4JF2_A 0.92 1.00 0.86 24 1054 4 4 0 0 0

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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 250
Total TN 99464
Total FP 200
Total FP CONTRA 25
Total FP INCONS 153
Total FP COMP 22
Total FN 1088
Total Scores
MCC 0.326
Average MCC ± 95% Confidence Intervals 0.247 ± 0.088
Sensitivity 0.187
Positive Predictive Value 0.584
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 0.89 0.80 1.00 8 166 0 0 0 0 2
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2KX8_A -0.01 0.00 0.00 0 370 1 0 1 0 16
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2WRQ_Y 0.00 0.00 0.00 0 1150 3 1 1 1 9
2WWQ_V -0.01 0.00 0.00 0 1199 6 0 5 1 19
2XKV_B 0.38 0.36 0.40 4 1825 8 4 2 2 7
2XQD_Y -0.01 0.00 0.00 0 1124 5 0 5 0 21
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
2ZZM_B 0.00 0.00 0.00 0 1358 4 0 0 4 15
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3AKZ_H -0.01 0.00 0.00 0 1125 2 0 2 0 20
3AMU_B -0.01 0.00 0.00 0 1155 2 0 2 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IZF_C 0.00 0.00 0.00 0 2635 5 0 5 0 35
3J16_L 0.00 0.00 0.00 0 1158 1 0 1 0 21
3J20_1 -0.01 0.00 0.00 0 1108 5 0 4 1 20
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J2L_3 0.00 0.00 0.00 0 3015 5 0 5 0 34
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3E_7 -0.01 0.00 0.00 0 2733 8 1 7 0 34
3J3F_7 0.00 0.00 0.00 0 2930 4 1 3 0 36
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3JYX_3 0.00 0.00 0.00 0 2373 5 1 4 0 15
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3UZL_B -0.01 0.00 0.00 0 1287 6 3 3 0 16
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_D 0.00 0.00 0.00 0 2794 2 0 2 0 35
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
3ZND_W 0.00 0.00 0.00 0 1189 4 0 2 2 8
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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