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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric ContextFold PPfold(seed)
MCC 0.767 > 0.102
Average MCC ± 95% Confidence Intervals 0.755 ± 0.122 > 0.046 ± 0.067
Sensitivity 0.719 > 0.023
Positive Predictive Value 0.823 > 0.474
Total TP 284 > 9
Total TN 30879 < 31205
Total FP 104 > 49
Total FP CONTRA 19 > 0
Total FP INCONS 42 > 10
Total FP COMP 43 > 39
Total FN 111 < 386
P-value 3.39090039918e-08

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Performance plots


  1. Comparison of performance of ContextFold and PPfold(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 ContextFold and PPfold(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 ContextFold and PPfold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold and PPfold(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 ContextFold and PPfold(seed)).

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Performance of ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP 284
Total TN 30879
Total FP 104
Total FP CONTRA 19
Total FP INCONS 42
Total FP COMP 43
Total FN 111
Total Scores
MCC 0.767
Average MCC ± 95% Confidence Intervals 0.755 ± 0.122
Sensitivity 0.719
Positive Predictive Value 0.823
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.58 0.56 0.63 10 512 6 0 6 0 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 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J2L_3 0.95 0.91 1.00 31 2989 4 0 0 4 3
3UZL_B 0.93 0.88 1.00 14 1279 7 0 0 7 2
3W3S_B 0.87 0.85 0.90 28 1958 4 0 3 1 5
3ZEX_C 0.44 0.41 0.48 12 5349 23 4 9 10 17
3ZEX_D 0.92 0.86 1.00 30 2766 4 0 0 4 5
4A1C_3 0.96 0.92 1.00 34 2729 1 0 0 1 3
4A1C_2 0.26 0.25 0.28 5 4498 26 3 10 13 15
4AOB_A 0.62 0.59 0.68 17 1412 9 2 6 1 12
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.77 0.71 0.85 17 1182 3 2 1 0 7
4FRN_A 0.42 0.39 0.46 11 1824 13 6 7 0 17

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

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

Total Base Pair Counts
Total TP 9
Total TN 31205
Total FP 49
Total FP CONTRA 0
Total FP INCONS 10
Total FP COMP 39
Total FN 386
Total Scores
MCC 0.102
Average MCC ± 95% Confidence Intervals 0.046 ± 0.067
Sensitivity 0.023
Positive Predictive Value 0.474
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.49 0.33 0.75 6 520 2 0 2 0 12
3J16_L 0.00 0.00 0.00 0 1159 0 0 0 0 21
3J20_1 0.00 0.00 0.00 0 1112 0 0 0 0 20
3J20_0 0.00 0.00 0.00 0 1219 0 0 0 0 21
3J2L_3 0.00 0.00 0.00 0 3020 0 0 0 0 34
3UZL_B 0.00 0.00 0.00 0 1293 0 0 0 0 16
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
3ZEX_C 0.15 0.07 0.33 2 5368 24 0 4 20 27
3ZEX_D 0.00 0.00 0.00 0 2796 0 0 0 0 35
4A1C_3 0.00 0.00 0.00 0 2763 0 0 0 0 37
4A1C_2 0.10 0.05 0.20 1 4511 23 0 4 19 19
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28

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