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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric ProbKnot RSpredict(seed)
MCC 0.570 > 0.228
Average MCC ± 95% Confidence Intervals 0.610 ± 0.108 > 0.194 ± 0.109
Sensitivity 0.529 > 0.106
Positive Predictive Value 0.618 > 0.498
Total TP 546 > 109
Total TN 241432 < 242096
Total FP 395 > 114
Total FP CONTRA 60 > 9
Total FP INCONS 277 > 101
Total FP COMP 58 > 4
Total FN 486 < 923
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of ProbKnot and RSpredict(seed). 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 ProbKnot and RSpredict(seed)).

  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 ProbKnot and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ProbKnot and RSpredict(seed). 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 ProbKnot and RSpredict(seed)).

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Performance of ProbKnot - scored higher in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 546
Total TN 241432
Total FP 395
Total FP CONTRA 60
Total FP INCONS 277
Total FP COMP 58
Total FN 486
Total Scores
MCC 0.570
Average MCC ± 95% Confidence Intervals 0.610 ± 0.108
Sensitivity 0.529
Positive Predictive Value 0.618
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2XKV_B 0.51 0.50 0.53 10 4541 24 0 9 15 10
2XQD_Y 0.90 0.81 1.00 22 2828 1 0 0 1 5
2XXA_G 0.26 0.24 0.29 10 5116 25 1 24 0 32
3AKZ_H 0.73 0.75 0.72 21 2672 8 4 4 0 7
3AMU_B 0.65 0.59 0.73 16 2981 8 0 6 2 11
3IYQ_A 0.28 0.31 0.26 29 60616 85 22 59 4 65
3IZ4_A 0.52 0.46 0.60 61 70774 46 6 35 5 71
3IZF_C 0.72 0.61 0.85 33 6864 6 0 6 0 21
3J16_L 0.35 0.33 0.38 10 2749 16 1 15 0 20
3NPB_A 0.72 0.61 0.85 28 6988 8 1 4 3 18
3O58_3 0.31 0.34 0.29 12 12362 41 4 25 12 23
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3PDR_A 0.74 0.64 0.85 46 12826 10 1 7 2 26
3RKF_A 0.73 0.59 0.91 20 2189 2 1 1 0 14
3SD1_A 0.55 0.48 0.65 20 3885 11 2 9 0 22
3UZL_B 0.73 0.62 0.85 23 3543 4 0 4 0 14
4A1C_3 0.73 0.61 0.87 33 7102 6 1 4 1 21
4A1C_2 0.13 0.15 0.12 5 11738 49 7 31 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.73 0.58 0.92 11 1263 1 1 0 0 8
4ENC_A 0.45 0.42 0.50 8 1310 8 1 7 0 11

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

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

Total Base Pair Counts
Total TP 109
Total TN 242096
Total FP 114
Total FP CONTRA 9
Total FP INCONS 101
Total FP COMP 4
Total FN 923
Total Scores
MCC 0.228
Average MCC ± 95% Confidence Intervals 0.194 ± 0.109
Sensitivity 0.106
Positive Predictive Value 0.498
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2L1F_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2XKV_B 0.28 0.20 0.40 4 4550 8 2 4 2 16
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
2XXA_G 0.34 0.17 0.70 7 5141 3 0 3 0 35
3AKZ_H 0.00 0.00 0.00 0 2699 2 0 2 0 28
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3IYQ_A 0.14 0.07 0.28 7 60701 19 5 13 1 87
3IZ4_A 0.21 0.08 0.59 10 70859 7 0 7 0 122
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16

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