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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric ProbKnot RSpredict(seed)
MCC 0.657 > 0.267
Average MCC ± 95% Confidence Intervals 0.694 ± 0.120 > 0.212 ± 0.117
Sensitivity 0.701 > 0.145
Positive Predictive Value 0.622 > 0.502
Total TP 513 > 106
Total TN 89065 < 89679
Total FP 428 > 117
Total FP CONTRA 115 > 24
Total FP INCONS 197 > 81
Total FP COMP 116 > 12
Total FN 219 < 626
P-value 5.1503931209e-08

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Performance plots


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

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

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Performance of ProbKnot - scored higher in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 513
Total TN 89065
Total FP 428
Total FP CONTRA 115
Total FP INCONS 197
Total FP COMP 116
Total FN 219
Total Scores
MCC 0.657
Average MCC ± 95% Confidence Intervals 0.694 ± 0.120
Sensitivity 0.701
Positive Predictive Value 0.622
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
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 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
2XKV_B 0.64 0.73 0.57 8 1821 26 0 6 20 3
2XQD_Y 1.00 1.00 1.00 21 1108 2 0 0 2 0
2XXA_G 0.25 0.26 0.26 9 2011 26 1 24 1 26
3AKZ_H 0.87 1.00 0.77 20 1101 9 6 0 3 0
3AMU_B 0.77 0.79 0.75 15 1137 9 0 5 4 4
3IYQ_A 0.24 0.33 0.18 17 22346 97 41 36 20 34
3IZ4_A 0.59 0.61 0.57 58 25435 49 17 26 6 37
3IZF_C 0.90 0.91 0.89 32 2604 7 0 4 3 3
3J16_L 0.42 0.48 0.38 10 1133 16 3 13 0 11
3NPB_A 0.79 0.73 0.87 27 2247 9 0 4 5 10
3O58_3 0.38 0.50 0.29 11 4726 42 10 17 15 11
3O58_2 0.91 0.94 0.88 29 2721 10 0 4 6 2
3PDR_A 0.88 0.92 0.85 46 4786 10 5 3 2 4
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.66 0.69 0.65 20 1502 11 6 5 0 9
3UZL_B 0.92 1.00 0.84 16 1274 11 3 0 8 0
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4A1C_2 0.17 0.25 0.13 5 4477 49 13 21 15 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.81 0.73 0.92 11 460 1 1 0 0 4
4ENC_A 0.52 0.53 0.53 8 481 8 0 7 1 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 106
Total TN 89679
Total FP 117
Total FP CONTRA 24
Total FP INCONS 81
Total FP COMP 12
Total FN 626
Total Scores
MCC 0.267
Average MCC ± 95% Confidence Intervals 0.212 ± 0.117
Sensitivity 0.145
Positive Predictive Value 0.502
Nr of predictions 26

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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
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
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
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
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
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
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
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

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