CompaRNA - on-line benchmarks of RNA structure prediction methods
Home

Methods
Datasets
Rankings
RNA 2D Atlas

Help
FAQ

Contact us
RSS feeds
Twitter

Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(seed) MCFold
MCC 0.540 > 0.538
Average MCC ± 95% Confidence Intervals 0.546 ± 0.080 < 0.597 ± 0.133
Sensitivity 0.341 < 0.554
Positive Predictive Value 0.862 > 0.529
Total TP 237 < 385
Total TN 93132 > 92679
Total FP 43 < 393
Total FP CONTRA 4 < 45
Total FP INCONS 34 < 298
Total FP COMP 5 < 50
Total FN 458 > 310
P-value 0.523470400498

^top




Performance plots


  1. Comparison of performance of Murlet(seed) and MCFold. 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 Murlet(seed) and MCFold).

  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 Murlet(seed) and MCFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(seed) and MCFold. 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 Murlet(seed) and MCFold).

^top





Performance of Murlet(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 237
Total TN 93132
Total FP 43
Total FP CONTRA 4
Total FP INCONS 34
Total FP COMP 5
Total FN 458
Total Scores
MCC 0.540
Average MCC ± 95% Confidence Intervals 0.546 ± 0.080
Sensitivity 0.341
Positive Predictive Value 0.862
Nr of predictions 24

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2KE6_A 0.66 0.53 0.83 10 1116 2 0 2 0 9
2KUR_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUU_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUV_A 0.85 0.73 1.00 16 1112 0 0 0 0 6
2KUW_A 0.84 0.76 0.94 16 1111 1 0 1 0 5
2L1F_A 0.82 0.75 0.90 18 2060 2 0 2 0 6
2L1F_B 0.80 0.72 0.90 18 2125 2 0 2 0 7
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XXA_G 0.38 0.14 1.00 6 5145 0 0 0 0 36
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

^top



Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 385
Total TN 92679
Total FP 393
Total FP CONTRA 45
Total FP INCONS 298
Total FP COMP 50
Total FN 310
Total Scores
MCC 0.538
Average MCC ± 95% Confidence Intervals 0.597 ± 0.133
Sensitivity 0.554
Positive Predictive Value 0.529
Nr of predictions 24

^top



2. Individual counts for MCFold [ 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 1 0 0 1 1
2KE6_A 1.00 1.00 1.00 19 1109 2 0 0 2 0
2KUR_A 1.00 1.00 1.00 21 1107 0 0 0 0 0
2KUU_A 0.98 0.95 1.00 20 1108 1 0 0 1 1
2KUV_A 0.98 0.95 1.00 21 1107 0 0 0 0 1
2KUW_A 0.95 0.95 0.95 20 1107 1 0 1 0 1
2L1F_A 0.72 0.75 0.69 18 2054 9 0 8 1 6
2L1F_B 0.73 0.76 0.70 19 2118 9 0 8 1 6
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.41 0.45 0.39 9 1517 16 0 14 2 11
2XKV_B 0.20 0.25 0.17 5 4530 37 2 23 12 15
2XXA_G 0.23 0.24 0.24 10 5110 32 1 30 1 32
3A3A_A 0.89 0.86 0.91 32 3620 3 1 2 0 5
3GX2_A 0.47 0.48 0.48 19 4331 22 0 21 1 21
3IVN_B 0.39 0.39 0.40 12 2316 18 0 18 0 19
3JYX_4 0.20 0.24 0.17 8 12199 43 16 23 4 25
3LA5_A 0.32 0.32 0.34 11 2453 21 1 20 0 23
3O58_3 0.22 0.26 0.19 9 12355 45 9 30 6 26
3PDR_A 0.66 0.61 0.72 44 12819 19 0 17 2 28
3RKF_A 0.70 0.65 0.76 22 2182 7 1 6 0 12
3SD1_A 0.33 0.33 0.35 14 3876 26 0 26 0 28
4A1C_2 0.13 0.15 0.11 5 11735 56 10 31 15 28
4ENB_A 0.61 0.63 0.60 12 1255 8 2 6 0 7
4ENC_A 0.28 0.32 0.27 6 1304 17 2 14 1 13

^top


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