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

  1. Overview

  2. Performance Plots

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

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

  5. Compile and download dataset for Afold & MCFold [.zip] - may take several seconds...


Overview

Metric Afold MCFold
MCC 0.600 > 0.514
Average MCC ± 95% Confidence Intervals 0.565 ± 0.181 > 0.510 ± 0.143
Sensitivity 0.617 > 0.557
Positive Predictive Value 0.594 > 0.489
Total TP 205 > 185
Total TN 21354 > 21321
Total FP 178 < 229
Total FP CONTRA 32 < 60
Total FP INCONS 108 < 133
Total FP COMP 38 > 36
Total FN 127 < 147
P-value 2.9966815982e-08

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Performance plots


  1. Comparison of performance of Afold 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 Afold 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 Afold and MCFold).

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

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Performance of Afold - scored higher in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 205
Total TN 21354
Total FP 178
Total FP CONTRA 32
Total FP INCONS 108
Total FP COMP 38
Total FN 127
Total Scores
MCC 0.600
Average MCC ± 95% Confidence Intervals 0.565 ± 0.181
Sensitivity 0.617
Positive Predictive Value 0.594
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KFC_A - -0.03 0.00 0.00 0 228 8 1 7 0 8
2LC8_A 0.64 0.61 0.69 11 512 6 0 5 1 7
2RP0_A - 0.76 0.71 0.83 5 110 1 0 1 0 2
2ZZN_D 0.91 0.91 0.91 20 962 3 2 0 1 2
3A2K_C 0.46 0.50 0.44 11 1083 14 3 11 0 11
3A3A_A 0.93 0.87 1.00 26 1474 0 0 0 0 4
3GCA_A - -0.04 0.00 0.00 0 151 9 1 6 2 7
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IWN_A 0.67 0.68 0.68 19 1444 9 1 8 0 9
3JYV_7 -0.02 0.00 0.00 0 1088 23 4 19 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.69 0.74 0.67 14 714 7 0 7 0 5
3O58_3 0.41 0.50 0.34 11 4732 38 6 15 17 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
4A1C_2 0.19 0.25 0.15 5 4483 43 11 17 15 15
4ENB_A 0.81 0.73 0.92 11 460 3 0 1 2 4

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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 185
Total TN 21321
Total FP 229
Total FP CONTRA 60
Total FP INCONS 133
Total FP COMP 36
Total FN 147
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.510 ± 0.143
Sensitivity 0.557
Positive Predictive Value 0.489
Nr of predictions 17

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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
2KFC_A - 0.54 0.63 0.50 5 226 5 2 3 0 3
2LC8_A 0.44 0.44 0.47 8 511 10 0 9 1 10
2RP0_A - 0.70 0.71 0.71 5 109 2 1 1 0 2
2ZZN_D 0.69 0.73 0.67 16 960 11 1 7 3 6
3A2K_C 0.49 0.55 0.46 12 1082 14 3 11 0 10
3A3A_A 0.98 0.97 1.00 29 1471 0 0 0 0 1
3GCA_A - -0.05 0.00 0.00 0 150 8 4 4 0 7
3IVN_B 0.45 0.48 0.46 11 879 14 5 8 1 12
3IWN_A 0.19 0.21 0.20 6 1442 24 5 19 0 22
3JYV_7 0.25 0.30 0.24 6 1086 20 8 11 1 14
3LA5_A 0.44 0.44 0.48 11 931 12 2 10 0 14
3NKB_B - 0.68 0.74 0.64 14 713 8 2 6 0 5
3O58_3 0.28 0.36 0.22 8 4727 39 14 15 10 14
3RKF_A 0.89 0.88 0.91 21 843 3 0 2 1 3
3U4M_B - 0.74 0.77 0.71 17 1252 10 1 6 3 5
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

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