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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric PknotsRG RSpredict(seed)
MCC 0.691 > 0.316
Average MCC ± 95% Confidence Intervals 0.719 ± 0.069 > 0.246 ± 0.085
Sensitivity 0.723 > 0.179
Positive Predictive Value 0.666 > 0.572
Total TP 1073 > 265
Total TN 146256 < 147405
Total FP 779 > 228
Total FP CONTRA 185 > 37
Total FP INCONS 354 > 161
Total FP COMP 240 > 30
Total FN 411 < 1219
P-value 3.56938820447e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PknotsRG 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 PknotsRG and RSpredict(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 1073
Total TN 146256
Total FP 779
Total FP CONTRA 185
Total FP INCONS 354
Total FP COMP 240
Total FN 411
Total Scores
MCC 0.691
Average MCC ± 95% Confidence Intervals 0.719 ± 0.069
Sensitivity 0.723
Positive Predictive Value 0.666
Nr of predictions 60

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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 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.88 0.89 0.89 16 449 3 0 2 1 2
2KUR_A 0.89 0.89 0.89 17 448 2 0 2 0 2
2KUU_A 0.88 0.89 0.89 16 429 3 0 2 1 2
2KUV_A 0.89 0.89 0.89 17 420 2 0 2 0 2
2KUW_A 0.94 0.94 0.94 17 452 2 0 1 1 1
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.66 0.61 0.73 11 513 4 2 2 0 7
2WRQ_Y 0.94 0.89 1.00 8 1144 14 0 0 14 1
2WWQ_V 1.00 1.00 1.00 19 1185 5 0 0 5 0
2XKV_B 0.64 0.73 0.57 8 1821 24 0 6 18 3
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
2ZZM_B 0.25 0.27 0.25 4 1342 20 3 9 8 11
2ZZN_D 0.93 0.95 0.91 21 961 2 2 0 0 1
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3AKZ_H 0.46 0.50 0.43 10 1104 15 6 7 2 10
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3GX2_A 0.80 0.79 0.81 22 1422 6 2 3 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.24 0.33 0.17 17 22340 94 45 38 11 34
3IZ4_A 0.56 0.60 0.52 57 25426 57 25 28 4 38
3IZF_C 0.75 0.77 0.73 27 2603 15 0 10 5 8
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.51 0.57 0.48 12 1194 14 3 10 1 9
3J2L_3 0.80 0.82 0.78 28 2984 12 1 7 4 6
3J3D_C 0.63 0.68 0.59 13 946 9 3 6 0 6
3J3E_8 0.26 0.33 0.21 5 2718 30 6 13 11 10
3J3E_7 0.77 0.76 0.79 26 2708 11 1 6 4 8
3J3F_8 0.32 0.42 0.24 8 4728 40 12 13 15 11
3J3F_7 0.96 0.97 0.95 35 2897 4 1 1 2 1
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3JYX_4 0.61 0.83 0.45 10 4734 33 10 2 21 2
3JYX_3 0.77 0.80 0.75 12 2362 27 0 4 23 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.93 0.86 1.00 32 2246 4 0 0 4 5
3O58_2 0.72 0.74 0.70 23 2721 19 0 10 9 8
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
3UZL_B 0.49 0.50 0.50 8 1277 15 0 8 7 8
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.64 0.64 0.66 21 1957 12 4 7 1 12
3ZEX_D 0.88 0.83 0.94 29 2765 6 0 2 4 6
3ZEX_C 0.30 0.34 0.26 10 5336 44 5 23 16 19
3ZND_W 0.24 0.38 0.16 3 1172 24 9 7 8 5
4A1C_3 0.85 0.84 0.86 31 2727 8 0 5 3 6
4A1C_2 0.18 0.25 0.14 5 4480 43 11 20 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.59 0.57 0.62 16 1822 10 2 8 0 12
4JF2_A 0.88 0.92 0.85 22 1056 4 4 0 0 2

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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 265
Total TN 147405
Total FP 228
Total FP CONTRA 37
Total FP INCONS 161
Total FP COMP 30
Total FN 1219
Total Scores
MCC 0.316
Average MCC ± 95% Confidence Intervals 0.246 ± 0.085
Sensitivity 0.179
Positive Predictive Value 0.572
Nr of predictions 60

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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_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
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
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
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_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3J3F_7 0.00 0.00 0.00 0 2930 4 1 3 0 36
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.