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

  1. Overview

  2. Performance Plots

  3. Performance of Afold - scored higher in this pairwise comparison

  4. Performance of Multilign(seed) - scored lower in this pairwise comparison

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


Overview

Metric Afold Multilign(seed)
MCC 0.781 > 0.610
Average MCC ± 95% Confidence Intervals 0.783 ± 0.454 > 0.558 ± 1.238
Sensitivity 0.676 > 0.500
Positive Predictive Value 0.909 > 0.755
Total TP 50 > 37
Total TN 4686 < 4692
Total FP 6 < 12
Total FP CONTRA 0 < 1
Total FP INCONS 5 < 11
Total FP COMP 1 > 0
Total FN 24 < 37
P-value 0.0

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Performance plots


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Performance of Afold - scored higher in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 50
Total TN 4686
Total FP 6
Total FP CONTRA 0
Total FP INCONS 5
Total FP COMP 1
Total FN 24
Total Scores
MCC 0.781
Average MCC ± 95% Confidence Intervals 0.783 ± 0.454
Sensitivity 0.676
Positive Predictive Value 0.909
Nr of predictions 3

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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
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.61 0.55 0.69 11 1524 6 0 5 1 9
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14

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Performance of Multilign(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 37
Total TN 4692
Total FP 12
Total FP CONTRA 1
Total FP INCONS 11
Total FP COMP 0
Total FN 37
Total Scores
MCC 0.610
Average MCC ± 95% Confidence Intervals 0.558 ± 1.238
Sensitivity 0.500
Positive Predictive Value 0.755
Nr of predictions 3

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.92 0.85 1.00 17 973 0 0 0 0 3
2LC8_A -0.01 0.00 0.00 0 1528 12 1 11 0 20
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 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.