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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric TurboFold(seed) ProbKnot
MCC 0.529 > 0.479
Average MCC ± 95% Confidence Intervals 0.527 ± 0.155 > 0.474 ± 0.166
Sensitivity 0.434 > 0.423
Positive Predictive Value 0.650 > 0.549
Total TP 212 > 207
Total TN 79366 > 79315
Total FP 150 < 210
Total FP CONTRA 16 < 30
Total FP INCONS 98 < 140
Total FP COMP 36 < 40
Total FN 277 < 282
P-value 1.02533530638e-08

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Performance plots


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

  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 TurboFold(seed) and ProbKnot).

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

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

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

Total Base Pair Counts
Total TP 212
Total TN 79366
Total FP 150
Total FP CONTRA 16
Total FP INCONS 98
Total FP COMP 36
Total FN 277
Total Scores
MCC 0.529
Average MCC ± 95% Confidence Intervals 0.527 ± 0.155
Sensitivity 0.434
Positive Predictive Value 0.650
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
3J3E_8 0.17 0.15 0.21 5 7479 28 2 17 9 28
3J3F_8 0.39 0.36 0.42 13 12215 32 2 16 14 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.59 0.48 0.74 20 3889 7 1 6 0 22
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.15 0.15 0.15 5 11748 37 3 25 9 28
4AOB_A 0.56 0.40 0.77 17 4349 6 1 4 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12

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Performance of ProbKnot - scored lower in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 207
Total TN 79315
Total FP 210
Total FP CONTRA 30
Total FP INCONS 140
Total FP COMP 40
Total FN 282
Total Scores
MCC 0.479
Average MCC ± 95% Confidence Intervals 0.474 ± 0.166
Sensitivity 0.423
Positive Predictive Value 0.549
Nr of predictions 14

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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
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
3J3E_8 0.00 0.00 0.00 0 7476 37 3 24 10 33
3J3F_8 0.35 0.33 0.36 12 12213 35 3 18 14 24
3RKF_A 0.73 0.59 0.91 20 2189 2 1 1 0 14
3SD1_A 0.55 0.48 0.65 20 3885 11 2 9 0 22
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3ZEX_C 0.38 0.31 0.47 16 14162 21 2 16 3 36
4A1C_3 0.73 0.61 0.87 33 7102 6 1 4 1 21
4A1C_2 0.13 0.15 0.12 5 11738 49 7 31 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.73 0.58 0.92 11 1263 1 1 0 0 8
4ENC_A 0.45 0.42 0.50 8 1310 8 1 7 0 11
4FRN_A 0.44 0.36 0.54 13 5127 11 2 9 0 23
4JF2_A 0.80 0.71 0.92 22 2826 2 2 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.