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

  1. Overview

  2. Performance Plots

  3. Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for CentroidAlifold(20) & ProbKnot [.zip] - may take several seconds...


Overview

Metric CentroidAlifold(20) ProbKnot
MCC 0.691 > 0.597
Average MCC ± 95% Confidence Intervals 0.690 ± 0.084 > 0.609 ± 0.110
Sensitivity 0.525 < 0.536
Positive Predictive Value 0.912 > 0.669
Total TP 354 < 361
Total TN 154828 > 154676
Total FP 46 < 218
Total FP CONTRA 7 < 30
Total FP INCONS 27 < 149
Total FP COMP 12 < 39
Total FN 320 > 313
P-value 1.66062906821e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(20) 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 CentroidAlifold(20) 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 CentroidAlifold(20) and ProbKnot).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(20) 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 CentroidAlifold(20) and ProbKnot).

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Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidAlifold(20)

Total Base Pair Counts
Total TP 354
Total TN 154828
Total FP 46
Total FP CONTRA 7
Total FP INCONS 27
Total FP COMP 12
Total FN 320
Total Scores
MCC 0.691
Average MCC ± 95% Confidence Intervals 0.690 ± 0.084
Sensitivity 0.525
Positive Predictive Value 0.912
Nr of predictions 15

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2. Individual counts for CentroidAlifold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3IZ4_A 0.58 0.39 0.88 51 70818 7 3 4 0 81
3IZF_C 0.75 0.61 0.92 33 6867 4 0 3 1 21
3NPB_A 0.70 0.54 0.89 25 6993 5 1 2 2 21
3O58_3 0.54 0.31 0.92 11 12391 1 0 1 0 24
3O58_2 0.78 0.76 0.81 29 7224 9 2 5 2 9
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.26 0.15 0.45 5 11770 8 1 5 2 28
4A1C_3 0.76 0.63 0.92 34 7103 4 0 3 1 20
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.60 0.37 1.00 7 1319 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 361
Total TN 154676
Total FP 218
Total FP CONTRA 30
Total FP INCONS 149
Total FP COMP 39
Total FN 313
Total Scores
MCC 0.597
Average MCC ± 95% Confidence Intervals 0.609 ± 0.110
Sensitivity 0.536
Positive Predictive Value 0.669
Nr of predictions 15

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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
2XQD_Y 0.90 0.81 1.00 22 2828 1 0 0 1 5
3AMU_B 0.65 0.59 0.73 16 2981 8 0 6 2 11
3IZ4_A 0.52 0.46 0.60 61 70774 46 6 35 5 71
3IZF_C 0.72 0.61 0.85 33 6864 6 0 6 0 21
3NPB_A 0.72 0.61 0.85 28 6988 8 1 4 3 18
3O58_3 0.31 0.34 0.29 12 12362 41 4 25 12 23
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3PDR_A 0.74 0.64 0.85 46 12826 10 1 7 2 26
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
4A1C_2 0.13 0.15 0.12 5 11738 49 7 31 11 28
4A1C_3 0.73 0.61 0.87 33 7102 6 1 4 1 21
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

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