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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric PPfold(20) IPknot
MCC 0.819 > 0.712
Average MCC ± 95% Confidence Intervals 0.792 ± 0.133 > 0.707 ± 0.119
Sensitivity 0.766 > 0.678
Positive Predictive Value 0.879 > 0.756
Total TP 269 > 238
Total TN 27657 > 27648
Total FP 58 < 105
Total FP CONTRA 4 < 18
Total FP INCONS 33 < 59
Total FP COMP 21 < 28
Total FN 82 < 113
P-value 1.91441904741e-08

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Performance plots


  1. Comparison of performance of PPfold(20) and IPknot. 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 PPfold(20) and IPknot).

  2. Comparison of performance of PPfold(20) and IPknot. 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 PPfold(20) and IPknot).

  3. 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 PPfold(20) and IPknot).

  4. 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 PPfold(20) and IPknot).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(20) and IPknot. 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 PPfold(20) and IPknot).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(20) and IPknot. 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 PPfold(20) and IPknot).

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

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

Total Base Pair Counts
Total TP 269
Total TN 27657
Total FP 58
Total FP CONTRA 4
Total FP INCONS 33
Total FP COMP 21
Total FN 82
Total Scores
MCC 0.819
Average MCC ± 95% Confidence Intervals 0.792 ± 0.133
Sensitivity 0.766
Positive Predictive Value 0.879
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 1.00 1.00 1.00 19 1138 2 0 0 2 0
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 1 1 0 0 1
3J2L_3 0.97 0.94 1.00 32 2988 4 0 0 4 2
3RKF_A 0.86 0.79 0.95 19 846 1 0 1 0 5
3SD1_A 0.81 0.76 0.88 22 1508 3 2 1 0 7
3ZEX_C 0.38 0.31 0.47 9 5355 14 0 10 4 20
3ZEX_D 0.93 0.91 0.94 32 2762 6 0 2 4 3
4A1C_3 0.93 0.92 0.94 34 2727 2 0 2 0 3
4A1C_2 0.27 0.25 0.29 5 4499 16 1 11 4 15
4AOB_A 0.87 0.83 0.92 24 1411 4 0 2 2 5
4ENB_A 0.63 0.47 0.88 7 464 1 0 1 0 8
4ENC_A 0.64 0.53 0.80 8 486 2 0 2 0 7
4FRG_B 0.84 0.75 0.95 18 1183 1 0 1 0 6

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Performance of IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 238
Total TN 27648
Total FP 105
Total FP CONTRA 18
Total FP INCONS 59
Total FP COMP 28
Total FN 113
Total Scores
MCC 0.712
Average MCC ± 95% Confidence Intervals 0.707 ± 0.119
Sensitivity 0.678
Positive Predictive Value 0.756
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J2L_3 0.82 0.82 0.82 28 2986 10 0 6 4 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
3ZEX_D 0.81 0.80 0.82 28 2762 10 0 6 4 7
4A1C_3 0.83 0.81 0.86 30 2728 7 0 5 2 7
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7

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