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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric IPknot NanoFolder
MCC 0.533 > 0.272
Average MCC ± 95% Confidence Intervals 0.534 ± 0.104 > 0.326 ± 0.081
Sensitivity 0.446 > 0.284
Positive Predictive Value 0.642 > 0.269
Total TP 441 > 281
Total TN 155591 > 155234
Total FP 284 < 805
Total FP CONTRA 23 < 93
Total FP INCONS 223 < 670
Total FP COMP 38 < 42
Total FN 548 < 708
P-value 5.23657817852e-08

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Performance plots


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

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

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 441
Total TN 155591
Total FP 284
Total FP CONTRA 23
Total FP INCONS 223
Total FP COMP 38
Total FN 548
Total Scores
MCC 0.533
Average MCC ± 95% Confidence Intervals 0.534 ± 0.104
Sensitivity 0.446
Positive Predictive Value 0.642
Nr of predictions 26

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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
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
2LKR_A - 0.84 0.77 0.91 30 6072 4 0 3 1 9
2M58_A - 0.60 0.41 0.88 7 1645 1 1 0 0 10
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 0.66 0.55 0.81 29 7839 9 0 7 2 24
3J3D_C 0.52 0.43 0.63 12 2756 7 0 7 0 16
3J3E_8 0.00 0.00 0.00 0 7484 25 2 17 6 33
3J3E_7 0.47 0.35 0.63 19 7110 11 0 11 0 35
3J3F_8 0.33 0.33 0.33 12 12210 37 4 20 13 24
3J3F_7 0.67 0.60 0.75 30 7220 10 1 9 0 20
3J3V_B 0.40 0.30 0.55 17 6990 14 0 14 0 40
3U4M_B - 0.68 0.54 0.87 20 3137 3 1 2 0 17
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
3W3S_B 0.85 0.75 0.97 30 4722 2 0 1 1 10
3ZEX_D 0.72 0.63 0.82 31 6983 7 0 7 0 18
3ZEX_G - 0.70 0.61 0.82 45 16416 14 1 9 4 29
3ZEX_E - 0.00 0.00 0.00 0 21894 53 4 47 2 77
3ZND_W 0.20 0.22 0.19 5 2977 23 1 20 2 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
4ATO_G - 0.41 0.40 0.44 4 519 6 0 5 1 6
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11
4JF2_A 0.84 0.74 0.96 23 2826 1 1 0 0 8
4JRC_A - 0.39 0.22 0.71 5 1533 2 0 2 0 18

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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.