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(20) - scored higher in this pairwise comparison

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

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


Overview

Metric TurboFold(20) IPknot
MCC 0.643 > 0.601
Average MCC ± 95% Confidence Intervals 0.652 ± 0.109 > 0.609 ± 0.114
Sensitivity 0.515 > 0.485
Positive Predictive Value 0.809 > 0.751
Total TP 262 > 247
Total TN 73053 > 73048
Total FP 81 < 96
Total FP CONTRA 5 < 8
Total FP INCONS 57 < 74
Total FP COMP 19 > 14
Total FN 247 < 262
P-value 2.1413769576e-08

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Performance plots


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

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

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

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

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

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

Total Base Pair Counts
Total TP 262
Total TN 73053
Total FP 81
Total FP CONTRA 5
Total FP INCONS 57
Total FP COMP 19
Total FN 247
Total Scores
MCC 0.643
Average MCC ± 95% Confidence Intervals 0.652 ± 0.109
Sensitivity 0.515
Positive Predictive Value 0.809
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.66 0.57 0.77 17 2828 6 0 5 1 13
3J2L_3 0.74 0.58 0.94 31 7842 5 0 2 3 22
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
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 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
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11

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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 247
Total TN 73048
Total FP 96
Total FP CONTRA 8
Total FP INCONS 74
Total FP COMP 14
Total FN 262
Total Scores
MCC 0.601
Average MCC ± 95% Confidence Intervals 0.609 ± 0.114
Sensitivity 0.485
Positive Predictive Value 0.751
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 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J2L_3 0.66 0.55 0.81 29 7839 9 0 7 2 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3ZEX_C 0.41 0.21 0.79 11 14182 6 1 2 3 41
3ZEX_D 0.72 0.63 0.82 31 6983 7 0 7 0 18
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11
4FRG_B 0.69 0.56 0.86 18 3465 3 1 2 0 14

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