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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric McQFold Murlet(seed)
MCC 0.743 > 0.620
Average MCC ± 95% Confidence Intervals 0.767 ± 0.110 > 0.616 ± 0.071
Sensitivity 0.744 > 0.442
Positive Predictive Value 0.749 < 0.879
Total TP 439 > 261
Total TN 38961 < 39250
Total FP 196 > 49
Total FP CONTRA 57 > 4
Total FP INCONS 90 > 32
Total FP COMP 49 > 13
Total FN 151 < 329
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of McQFold and Murlet(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 McQFold and Murlet(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 McQFold and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for McQFold and Murlet(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 McQFold and Murlet(seed)).

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Performance of McQFold - scored higher in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 439
Total TN 38961
Total FP 196
Total FP CONTRA 57
Total FP INCONS 90
Total FP COMP 49
Total FN 151
Total Scores
MCC 0.743
Average MCC ± 95% Confidence Intervals 0.767 ± 0.110
Sensitivity 0.744
Positive Predictive Value 0.749
Nr of predictions 26

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2. Individual counts for McQFold [ 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 0.91 0.83 1.00 15 452 1 0 0 1 3
2KUR_A 0.91 0.84 1.00 16 451 0 0 0 0 3
2KUU_A 0.91 0.83 1.00 15 432 1 0 0 1 3
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.94 0.89 1.00 16 454 0 0 0 0 2
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 0.64 0.61 0.69 11 512 5 1 4 0 7
2XKV_B 0.33 0.36 0.31 4 1822 27 2 7 18 7
2XXA_G 0.27 0.26 0.30 9 2015 22 0 21 1 26
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.56 0.57 0.57 16 1421 13 4 8 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.35 0.58 0.22 7 4724 33 17 8 8 5
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.90 0.81 1.00 30 2248 5 0 0 5 7
3O58_3 0.30 0.36 0.25 8 4732 27 15 9 3 14
3PDR_A 0.83 0.80 0.87 40 4794 9 2 4 3 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.82 0.83 0.83 24 1504 5 1 4 0 5
4A1C_2 0.19 0.25 0.16 5 4484 33 11 16 6 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
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

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Performance of Murlet(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for Murlet(seed)

Total Base Pair Counts
Total TP 261
Total TN 39250
Total FP 49
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 13
Total FN 329
Total Scores
MCC 0.620
Average MCC ± 95% Confidence Intervals 0.616 ± 0.071
Sensitivity 0.442
Positive Predictive Value 0.879
Nr of predictions 26

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2. Individual counts for Murlet(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.54 0.30 1.00 3 171 0 0 0 0 7
2KE6_A 0.67 0.56 0.83 10 455 2 0 2 0 8
2KUR_A 0.65 0.53 0.83 10 455 2 0 2 0 9
2KUU_A 0.67 0.56 0.83 10 435 2 0 2 0 8
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2L1F_A 0.83 0.78 0.90 18 743 2 0 2 0 5
2L1F_B 0.82 0.75 0.90 18 771 2 0 2 0 6
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XXA_G 0.41 0.17 1.00 6 2039 0 0 0 0 29
3A3A_A 0.63 0.40 1.00 12 1488 0 0 0 0 18
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3JYX_4 0.50 0.25 1.00 3 4753 4 0 0 4 9
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3NPB_A 0.59 0.35 1.00 13 2265 2 0 0 2 24
3O58_3 0.52 0.27 1.00 6 4758 1 0 0 1 16
3PDR_A 0.53 0.28 1.00 14 4826 0 0 0 0 36
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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