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

  1. Overview

  2. Performance Plots

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

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

  5. Compile and download dataset for ContextFold & NanoFolder [.zip] - may take several seconds...


Overview

Metric ContextFold NanoFolder
MCC 0.556 > 0.272
Average MCC ± 95% Confidence Intervals 0.542 ± 0.122 > 0.326 ± 0.081
Sensitivity 0.451 > 0.284
Positive Predictive Value 0.691 > 0.269
Total TP 446 > 281
Total TN 155633 > 155234
Total FP 243 < 805
Total FP CONTRA 23 < 93
Total FP INCONS 176 < 670
Total FP COMP 44 > 42
Total FN 543 < 708
P-value 5.06544643719e-08

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Performance plots


  1. Comparison of performance of ContextFold and NanoFolder. 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 ContextFold and NanoFolder).

  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 ContextFold and NanoFolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold and NanoFolder. 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 ContextFold and NanoFolder).

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Performance of ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP 446
Total TN 155633
Total FP 243
Total FP CONTRA 23
Total FP INCONS 176
Total FP COMP 44
Total FN 543
Total Scores
MCC 0.556
Average MCC ± 95% Confidence Intervals 0.542 ± 0.122
Sensitivity 0.451
Positive Predictive Value 0.691
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.55 0.50 0.63 10 1524 6 0 6 0 10
2LKR_A - 0.65 0.56 0.76 22 6076 9 0 7 2 17
2M58_A - -0.01 0.00 0.00 0 1639 14 0 14 0 17
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.79 0.62 1.00 33 7842 2 0 0 2 20
3J3D_C 0.73 0.61 0.89 17 2756 2 0 2 0 11
3J3E_8 0.00 0.00 0.00 0 7483 29 9 11 9 33
3J3E_7 0.72 0.56 0.94 30 7108 2 0 2 0 24
3J3F_8 0.33 0.31 0.37 11 12216 29 3 16 10 25
3J3F_7 0.81 0.68 0.97 34 7225 1 0 1 0 16
3J3V_B 0.76 0.58 1.00 33 6988 0 0 0 0 24
3U4M_B - 0.75 0.57 1.00 21 3139 0 0 0 0 16
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
3W3S_B 0.79 0.70 0.90 28 4722 4 0 3 1 12
3ZEX_D 0.81 0.67 0.97 33 6987 1 0 1 0 16
3ZEX_G - 0.26 0.20 0.33 15 16426 34 2 28 4 59
3ZEX_E - 0.08 0.06 0.10 5 21896 44 5 39 0 72
3ZND_W 0.21 0.22 0.22 5 2980 20 0 18 2 18
4A1C_3 0.78 0.63 0.97 34 7105 1 0 1 0 20
4A1C_2 0.20 0.15 0.28 5 11763 26 0 13 13 28
4AOB_A 0.52 0.40 0.68 17 4346 9 1 7 1 25
4ATO_G - -0.01 0.00 0.00 0 526 2 0 2 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4JF2_A 0.50 0.39 0.67 12 2832 6 2 4 0 19
4JRC_A - 0.78 0.61 1.00 14 1526 0 0 0 0 9

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Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 281
Total TN 155234
Total FP 805
Total FP CONTRA 93
Total FP INCONS 670
Total FP COMP 42
Total FN 708
Total Scores
MCC 0.272
Average MCC ± 95% Confidence Intervals 0.326 ± 0.081
Sensitivity 0.284
Positive Predictive Value 0.269
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.55 0.50 11 1518 11 0 11 0 9
2LKR_A - 0.29 0.33 0.25 13 6054 38 8 30 0 26
2M58_A - 0.43 0.47 0.40 8 1633 12 4 8 0 9
3J16_L 0.36 0.37 0.37 11 2745 19 3 16 0 19
3J20_1 0.41 0.48 0.37 11 2896 19 5 14 0 12
3J2L_3 0.11 0.11 0.12 6 7824 46 3 42 1 47
3J3D_C 0.70 0.71 0.69 20 2746 9 2 7 0 8
3J3E_8 0.00 0.00 0.00 0 7466 47 6 31 10 33
3J3E_7 0.35 0.33 0.37 18 7091 31 1 30 0 36
3J3F_8 0.27 0.33 0.22 12 12192 54 9 33 12 24
3J3F_7 0.17 0.18 0.17 9 7208 43 3 40 0 41
3J3V_B 0.24 0.23 0.27 13 6973 35 1 34 0 44
3U4M_B - 0.61 0.57 0.66 21 3128 11 1 10 0 16
3UZL_B 0.36 0.35 0.38 13 3536 21 3 18 0 24
3W3S_B 0.17 0.18 0.18 7 4713 34 1 32 1 33
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
3ZEX_G - 0.05 0.05 0.05 4 16393 76 5 69 2 70
3ZEX_E - 0.03 0.04 0.03 3 21859 85 9 74 2 74
3ZND_W 0.18 0.22 0.17 5 2973 29 6 19 4 18
4A1C_3 0.48 0.46 0.51 25 7091 24 2 22 0 29
4A1C_2 0.00 0.00 0.00 0 11728 61 12 41 8 33
4AOB_A 0.33 0.29 0.39 12 4340 20 1 18 1 30
4ATO_G - 0.61 0.70 0.54 7 515 6 2 4 0 3
4ENC_A 0.57 0.58 0.58 11 1307 9 0 8 1 8
4JF2_A 0.51 0.55 0.49 17 2815 18 5 13 0 14
4JRC_A - 0.48 0.48 0.50 11 1518 11 0 11 0 12

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