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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PETfold_pre2.0(seed) & Afold [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(seed) Afold
MCC 0.719 > 0.481
Average MCC ± 95% Confidence Intervals 0.705 ± 0.067 > 0.474 ± 0.160
Sensitivity 0.640 > 0.451
Positive Predictive Value 0.812 > 0.521
Total TP 224 > 158
Total TN 45112 > 45085
Total FP 58 < 167
Total FP CONTRA 26 > 22
Total FP INCONS 26 < 123
Total FP COMP 6 < 22
Total FN 126 < 192
P-value 2.86595104665e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(seed) and Afold. 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 PETfold_pre2.0(seed) and Afold).

  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 PETfold_pre2.0(seed) and Afold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(seed) and Afold. 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 PETfold_pre2.0(seed) and Afold).

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Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(seed)

Total Base Pair Counts
Total TP 224
Total TN 45112
Total FP 58
Total FP CONTRA 26
Total FP INCONS 26
Total FP COMP 6
Total FN 126
Total Scores
MCC 0.719
Average MCC ± 95% Confidence Intervals 0.705 ± 0.067
Sensitivity 0.640
Positive Predictive Value 0.812
Nr of predictions 15

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2. Individual counts for PETfold_pre2.0(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00571 0.85 0.80 0.91 20 3299 2 2 0 0 5
PDB_00716 0.68 0.57 0.81 13 2685 3 0 3 0 10
PDB_00828 0.84 0.78 0.91 21 2462 3 2 0 1 6
PDB_00829 0.87 0.83 0.91 20 2256 3 2 0 1 4
PDB_01009 0.93 0.90 0.95 19 2465 3 0 1 2 2
PDB_01092 0.68 0.56 0.83 29 10118 8 0 6 2 23
RFA_00632 0.69 0.64 0.75 18 4071 6 2 4 0 10
RFA_00636 0.73 0.68 0.79 19 3981 5 2 3 0 9
RFA_00767 0.63 0.56 0.71 10 1877 4 3 1 0 8
RFA_00768 0.63 0.56 0.71 10 1877 4 3 1 0 8
RFA_00769 0.63 0.56 0.71 10 1939 4 3 1 0 8
RFA_00770 0.63 0.56 0.71 10 2002 4 3 1 0 8
RFA_00773 0.63 0.56 0.71 10 1939 4 3 1 0 8
RFA_00808 0.71 0.56 0.90 9 2006 1 1 0 0 7
RFA_00809 0.47 0.38 0.60 6 2135 4 0 4 0 10

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Performance of Afold - scored lower in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 158
Total TN 45085
Total FP 167
Total FP CONTRA 22
Total FP INCONS 123
Total FP COMP 22
Total FN 192
Total Scores
MCC 0.481
Average MCC ± 95% Confidence Intervals 0.474 ± 0.160
Sensitivity 0.451
Positive Predictive Value 0.521
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00571 -0.01 0.00 0.00 0 3302 20 5 14 1 25
PDB_00716 -0.01 0.00 0.00 0 2677 25 1 23 1 23
PDB_00828 0.88 0.78 1.00 21 2464 0 0 0 0 6
PDB_00829 0.82 0.71 0.94 17 2260 1 0 1 0 7
PDB_01009 0.52 0.57 0.48 12 2460 13 5 8 0 9
PDB_01092 0.69 0.60 0.79 31 10114 11 1 7 3 21
RFA_00632 0.40 0.39 0.41 11 4068 18 0 16 2 17
RFA_00636 0.42 0.43 0.43 12 3977 17 2 14 1 16
RFA_00767 0.63 0.56 0.71 10 1877 5 0 4 1 8
RFA_00768 0.48 0.44 0.53 8 1876 8 1 6 1 10
RFA_00769 0.55 0.56 0.56 10 1935 10 3 5 2 8
RFA_00770 0.68 0.56 0.83 10 2004 6 0 2 4 8
RFA_00773 0.71 0.56 0.91 10 1942 5 1 0 4 8
RFA_00808 -0.01 0.00 0.00 0 2001 16 2 13 1 16
RFA_00809 0.36 0.38 0.35 6 2128 12 1 10 1 10

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