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

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(seed) - scored higher in this pairwise comparison

  4. Performance of MCFold - scored lower in this pairwise comparison

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


Overview

Metric Murlet(seed) MCFold
MCC 0.589 > 0.559
Average MCC ± 95% Confidence Intervals 0.583 ± 0.071 < 0.591 ± 0.123
Sensitivity 0.413 < 0.606
Positive Predictive Value 0.848 > 0.526
Total TP 274 < 402
Total TN 52518 > 52077
Total FP 63 < 461
Total FP CONTRA 6 < 104
Total FP INCONS 43 < 258
Total FP COMP 14 < 99
Total FN 389 > 261
P-value 1.37177523642e-07

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Performance plots


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

  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 Murlet(seed) and MCFold).

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

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

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

Total Base Pair Counts
Total TP 274
Total TN 52518
Total FP 63
Total FP CONTRA 6
Total FP INCONS 43
Total FP COMP 14
Total FN 389
Total Scores
MCC 0.589
Average MCC ± 95% Confidence Intervals 0.583 ± 0.071
Sensitivity 0.413
Positive Predictive Value 0.848
Nr of predictions 30

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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
3J3E_8 0.36 0.13 1.00 2 2740 2 0 0 2 13
3J3F_8 0.61 0.37 1.00 7 4754 0 0 0 0 12
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
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
3ZEX_C 0.49 0.24 1.00 7 5367 0 0 0 0 22
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
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
4FRG_B 0.17 0.13 0.25 3 1190 9 0 9 0 21
4FRN_A 0.66 0.50 0.88 14 1832 2 1 1 0 14
4JF2_A 0.47 0.29 0.78 7 1073 4 1 1 2 17

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 402
Total TN 52077
Total FP 461
Total FP CONTRA 104
Total FP INCONS 258
Total FP COMP 99
Total FN 261
Total Scores
MCC 0.559
Average MCC ± 95% Confidence Intervals 0.591 ± 0.123
Sensitivity 0.606
Positive Predictive Value 0.526
Nr of predictions 30

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2. Individual counts for MCFold [ 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 1 0 0 1 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
2L1F_A 0.79 0.78 0.82 18 741 4 0 4 0 5
2L1F_B 0.80 0.79 0.83 19 768 4 0 4 0 5
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.44 0.44 0.47 8 511 10 0 9 1 10
2XKV_B 0.20 0.27 0.16 3 1816 30 4 12 14 8
2XXA_G 0.23 0.26 0.24 9 2007 30 1 28 1 26
3A3A_A 0.98 0.97 1.00 29 1471 0 0 0 0 1
3GX2_A 0.58 0.61 0.57 17 1419 15 1 12 2 11
3IVN_B 0.45 0.48 0.46 11 879 14 5 8 1 12
3J3E_8 0.15 0.20 0.12 3 2716 36 11 12 13 12
3J3F_8 0.14 0.21 0.10 4 4720 51 17 20 14 15
3JYX_4 0.36 0.58 0.23 7 4725 37 19 5 13 5
3LA5_A 0.44 0.44 0.48 11 931 12 2 10 0 14
3O58_3 0.28 0.36 0.22 8 4727 39 14 15 10 14
3PDR_A 0.78 0.80 0.77 40 4788 14 5 7 2 10
3RKF_A 0.89 0.88 0.91 21 843 3 0 2 1 3
3SD1_A 0.43 0.45 0.43 13 1503 17 1 16 0 16
3ZEX_C 0.30 0.34 0.27 10 5337 28 6 21 1 19
4A1C_2 0.18 0.25 0.14 5 4480 45 12 19 14 15
4ENB_A 0.78 0.73 0.85 11 459 4 0 2 2 4
4ENC_A 0.34 0.33 0.38 5 483 11 0 8 3 10
4FRG_B 0.35 0.38 0.35 9 1176 17 3 14 0 15
4FRN_A 0.09 0.11 0.10 3 1818 28 2 25 1 25
4JF2_A 0.74 0.75 0.75 18 1058 7 1 5 1 6

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