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 Cylofold - scored lower in this pairwise comparison

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


Overview

Metric Sfold Cylofold
MCC 0.800 > 0.741
Average MCC ± 95% Confidence Intervals 0.806 ± 0.067 > 0.752 ± 0.068
Sensitivity 0.781 > 0.724
Positive Predictive Value 0.826 > 0.767
Total TP 865 > 802
Total TN 59517 < 59519
Total FP 287 < 330
Total FP CONTRA 38 < 65
Total FP INCONS 144 < 178
Total FP COMP 105 > 87
Total FN 242 < 305
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of Sfold and Cylofold. 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 Cylofold).

  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 Cylofold).

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

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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 865
Total TN 59517
Total FP 287
Total FP CONTRA 38
Total FP INCONS 144
Total FP COMP 105
Total FN 242
Total Scores
MCC 0.800
Average MCC ± 95% Confidence Intervals 0.806 ± 0.067
Sensitivity 0.781
Positive Predictive Value 0.826
Nr of predictions 63

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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
2KRL_A - 0.91 0.87 0.95 20 2003 9 1 0 8 3
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2KXM_A - 1.00 1.00 1.00 8 141 0 0 0 0 0
2KZL_A - 1.00 1.00 1.00 13 507 1 0 0 1 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L2K_A - 1.00 1.00 1.00 17 332 0 0 0 0 0
2L3C_B - 1.00 1.00 1.00 14 225 0 0 0 0 0
2L3E_A - 1.00 1.00 1.00 12 228 1 0 0 1 0
2L3J_B 1.00 1.00 1.00 30 955 0 0 0 0 0
2L5Z_A - 1.00 1.00 1.00 9 102 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LA5_A - 0.77 0.71 0.83 5 269 3 0 1 2 2
2LC8_A 0.46 0.39 0.58 7 516 5 0 5 0 11
2LDL_A - 1.00 1.00 1.00 9 131 1 0 0 1 0
2LDT_A - 1.00 1.00 1.00 11 151 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.95 0.90 1.00 26 2414 6 0 0 6 3
2LWK_A - 1.00 1.00 1.00 11 196 1 0 0 1 0
2RRC_A - 1.00 1.00 1.00 7 68 0 0 0 0 0
2XKV_B 0.64 0.73 0.57 8 1821 25 0 6 19 3
2XQD_Y 0.85 0.81 0.89 17 1110 3 0 2 1 4
2XXA_G 0.37 0.34 0.41 12 2016 18 1 16 1 23
2Y9C_V - 0.79 0.83 0.75 15 886 8 0 5 3 3
2YIE_Z - -0.02 0.00 0.00 0 587 15 6 9 0 8
2YIE_X - 0.75 0.57 1.00 4 540 0 0 0 0 3
3ADB_C - 0.67 0.64 0.72 21 1790 9 0 8 1 12
3AKZ_H 0.49 0.50 0.50 10 1107 12 3 7 2 10
3AM1_B - 0.75 0.76 0.76 22 1437 7 3 4 0 7
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3IZF_C 0.89 0.91 0.86 32 2603 8 0 5 3 3
3J0L_7 - -0.01 0.00 0.00 0 516 3 1 2 0 10
3J0L_2 - 0.44 0.42 0.48 11 2227 19 0 12 7 15
3J0L_a - 0.55 0.64 0.50 7 397 8 5 2 1 4
3J0L_1 - 0.83 0.77 0.91 10 473 5 0 1 4 3
3J0L_h - 0.87 0.81 0.93 26 2112 4 1 1 2 6
3J0L_g - -0.01 0.00 0.00 0 173 5 1 2 2 2
3J16_L 0.34 0.33 0.37 7 1140 12 0 12 0 14
3NDB_M - 0.96 0.93 1.00 41 3673 4 0 0 4 3
3NKB_B - 0.75 0.74 0.78 14 717 4 0 4 0 5
3NMU_E - 1.00 1.00 1.00 3 213 4 0 0 4 0
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
3O58_2 0.87 0.90 0.85 28 2721 11 0 5 6 3
3OVB_D - 1.00 1.00 1.00 11 215 1 0 0 1 0
3OVS_D - 1.00 1.00 1.00 12 204 0 0 0 0 0
3P22_G - 1.00 1.00 1.00 11 301 0 0 0 0 0
3PDR_A 0.82 0.80 0.85 40 4793 9 2 5 2 10
3R4F_A - 1.00 1.00 1.00 22 884 1 0 0 1 0
3R9X_C - 1.00 1.00 1.00 8 221 2 0 0 2 0
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.78 0.72 0.84 21 1508 4 2 2 0 8
3SIU_F - 1.00 1.00 1.00 8 137 0 0 0 0 0
3SN2_B 0.95 0.92 1.00 11 143 0 0 0 0 1
3TRZ_Z - 1.00 1.00 1.00 5 87 2 0 0 2 0
3TS2_V - 1.00 1.00 1.00 5 103 0 0 0 0 0
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3UZL_B 0.60 0.50 0.73 8 1282 7 3 0 4 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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Performance of Cylofold - scored lower in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 802
Total TN 59519
Total FP 330
Total FP CONTRA 65
Total FP INCONS 178
Total FP COMP 87
Total FN 305
Total Scores
MCC 0.741
Average MCC ± 95% Confidence Intervals 0.752 ± 0.068
Sensitivity 0.724
Positive Predictive Value 0.767
Nr of predictions 63

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.85 0.87 0.83 20 2000 12 4 0 8 3
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2KXM_A - 0.78 0.63 1.00 5 144 0 0 0 0 3
2KZL_A - 0.83 0.69 1.00 9 511 1 0 0 1 4
2L1F_A 0.93 0.87 1.00 20 743 0 0 0 0 3
2L1F_B 0.93 0.88 1.00 21 770 0 0 0 0 3
2L2K_A - 0.87 0.76 1.00 13 336 0 0 0 0 4
2L3C_B - 0.84 0.71 1.00 10 229 0 0 0 0 4
2L3E_A - 1.00 1.00 1.00 12 228 1 0 0 1 0
2L3J_B 0.95 0.90 1.00 27 958 0 0 0 0 3
2L5Z_A - 1.00 1.00 1.00 9 102 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LA5_A - 0.77 0.71 0.83 5 269 1 0 1 0 2
2LC8_A 0.64 0.61 0.69 11 512 5 1 4 0 7
2LDL_A - 0.81 0.67 1.00 6 134 0 0 0 0 3
2LDT_A - 1.00 1.00 1.00 11 151 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.56 0.55 0.57 16 2412 13 4 8 1 13
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
2RRC_A - 0.83 0.71 1.00 5 70 0 0 0 0 2
2XKV_B 0.41 0.55 0.32 6 1816 25 9 4 12 5
2XQD_Y 0.89 0.95 0.83 20 1105 5 4 0 1 1
2XXA_G 0.10 0.11 0.11 4 2009 32 2 30 0 31
2Y9C_V - 0.72 0.72 0.72 13 888 8 0 5 3 5
2YIE_Z - -0.02 0.00 0.00 0 591 11 5 6 0 8
2YIE_X - 0.43 0.57 0.33 4 532 10 2 6 2 3
3ADB_C - 0.84 0.82 0.87 27 1788 4 0 4 0 6
3AKZ_H 0.77 0.75 0.79 15 1108 7 0 4 3 5
3AM1_B - 0.83 0.76 0.92 22 1442 2 0 2 0 7
3AMU_B 0.77 0.79 0.75 15 1137 8 0 5 3 4
3IZF_C 0.85 0.83 0.88 29 2607 7 0 4 3 6
3J0L_7 - 0.41 0.50 0.36 5 505 10 3 6 1 5
3J0L_2 - 0.49 0.46 0.52 12 2227 18 0 11 7 14
3J0L_a - 0.17 0.18 0.20 2 401 9 3 5 1 9
3J0L_1 - 0.73 0.62 0.89 8 475 3 0 1 2 5
3J0L_h - 0.55 0.50 0.62 16 2114 10 2 8 0 16
3J0L_g - -0.01 0.00 0.00 0 174 4 0 2 2 2
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3NDB_M - 0.68 0.64 0.74 28 3676 14 2 8 4 16
3NKB_B - 0.46 0.42 0.53 8 720 7 0 7 0 11
3NMU_E - 0.28 0.33 0.25 1 212 6 1 2 3 2
3O58_3 0.42 0.50 0.35 11 4733 30 9 11 10 11
3O58_2 0.90 0.84 0.96 26 2727 3 0 1 2 5
3OVB_D - 1.00 1.00 1.00 11 215 1 0 0 1 0
3OVS_D - 1.00 1.00 1.00 12 204 0 0 0 0 0
3P22_G - 1.00 1.00 1.00 11 301 0 0 0 0 0
3PDR_A 0.86 0.78 0.95 39 4799 4 1 1 2 11
3R4F_A - 1.00 1.00 1.00 22 884 1 0 0 1 0
3R9X_C - 1.00 1.00 1.00 8 221 2 0 0 2 0
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.71 0.69 0.74 20 1506 7 2 5 0 9
3SIU_F - 0.86 0.75 1.00 6 139 0 0 0 0 2
3SN2_B 0.63 0.42 1.00 5 149 0 0 0 0 7
3TRZ_Z - 1.00 1.00 1.00 5 87 1 0 0 1 0
3TS2_V - 1.00 1.00 1.00 5 103 0 0 0 0 0
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3UZL_B 0.45 0.50 0.42 8 1274 18 4 7 7 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.42 0.38 0.48 11 1414 13 3 9 1 18
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

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