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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RSpredict(seed)
MCC 0.608 > 0.314
Average MCC ± 95% Confidence Intervals 0.644 ± 0.076 > 0.284 ± 0.100
Sensitivity 0.525 > 0.161
Positive Predictive Value 0.708 > 0.620
Total TP 795 > 243
Total TN 296192 < 296923
Total FP 398 > 156
Total FP CONTRA 48 > 12
Total FP INCONS 280 > 137
Total FP COMP 70 > 7
Total FN 718 < 1270
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 795
Total TN 296192
Total FP 398
Total FP CONTRA 48
Total FP INCONS 280
Total FP COMP 70
Total FN 718
Total Scores
MCC 0.608
Average MCC ± 95% Confidence Intervals 0.644 ± 0.076
Sensitivity 0.525
Positive Predictive Value 0.708
Nr of predictions 44

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2KE6_A 0.92 0.89 0.94 17 1110 2 0 1 1 2
2KUR_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2KUU_A 0.87 0.81 0.94 17 1110 2 0 1 1 4
2KUV_A 0.88 0.82 0.95 18 1109 1 0 1 0 4
2KUW_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
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 0.45 0.35 0.58 7 1528 5 0 5 0 13
2WRQ_Y 0.53 0.53 0.53 9 2833 13 5 3 5 8
2WWQ_V 0.80 0.68 0.95 19 2906 2 0 1 1 9
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
2XXA_G 0.36 0.31 0.43 13 5121 17 1 16 0 29
2ZZM_B 0.12 0.09 0.17 3 3468 15 0 15 0 29
2ZZN_D 0.82 0.78 0.88 21 2461 3 0 3 0 6
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3AKZ_H 0.44 0.39 0.50 11 2679 11 2 9 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3GX2_A 0.72 0.55 0.96 22 4348 2 0 1 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.33 0.34 0.32 32 60627 71 19 48 4 62
3IZ4_A 0.52 0.42 0.65 56 70790 31 3 27 1 76
3IZF_C 0.71 0.61 0.83 33 6863 7 0 7 0 21
3J16_L 0.29 0.23 0.37 7 2756 12 0 12 0 23
3JYV_7 -0.01 0.00 0.00 0 2834 16 0 16 0 32
3JYX_4 0.35 0.30 0.42 10 12222 23 3 11 9 23
3JYX_3 0.62 0.63 0.61 17 6300 19 1 10 8 10
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.77 0.65 0.91 30 6988 6 1 2 3 16
3O58_2 0.74 0.74 0.74 28 7222 11 3 7 1 10
3O58_3 0.43 0.34 0.55 12 12381 17 0 10 7 23
3PDR_A 0.69 0.56 0.85 40 12833 9 0 7 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.65 0.50 0.84 21 3891 4 1 3 0 21
3UZL_B 0.51 0.32 0.80 12 3555 3 2 1 0 25
4A1C_2 0.16 0.15 0.17 5 11751 34 2 23 9 28
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14

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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 243
Total TN 296923
Total FP 156
Total FP CONTRA 12
Total FP INCONS 137
Total FP COMP 7
Total FN 1270
Total Scores
MCC 0.314
Average MCC ± 95% Confidence Intervals 0.284 ± 0.100
Sensitivity 0.161
Positive Predictive Value 0.620
Nr of predictions 44

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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
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2KE6_A 0.83 0.74 0.93 14 1113 2 0 1 1 5
2KUR_A 0.82 0.71 0.94 15 1112 1 0 1 0 6
2KUU_A 0.79 0.67 0.93 14 1113 2 0 1 1 7
2KUV_A 0.80 0.68 0.94 15 1112 1 0 1 0 7
2KUW_A 0.73 0.62 0.87 13 1113 2 0 2 0 8
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
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
2WWQ_V 0.00 0.00 0.00 0 2920 6 1 5 0 28
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
2ZZM_B 0.00 0.00 0.00 0 3482 4 0 4 0 32
2ZZN_D 0.43 0.19 1.00 5 2480 0 0 0 0 22
3A2K_C 0.00 0.00 0.00 0 2924 2 0 2 0 28
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
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
3GX2_A 0.36 0.15 0.86 6 4364 1 0 1 0 34
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
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
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
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_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
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.