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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric HotKnots Cylofold
MCC 0.800 > 0.741
Average MCC ± 95% Confidence Intervals 0.817 ± 0.067 > 0.752 ± 0.068
Sensitivity 0.814 > 0.724
Positive Predictive Value 0.794 > 0.767
Total TP 901 > 802
Total TN 59429 < 59519
Total FP 341 > 330
Total FP CONTRA 60 < 65
Total FP INCONS 174 < 178
Total FP COMP 107 > 87
Total FN 206 < 305
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 901
Total TN 59429
Total FP 341
Total FP CONTRA 60
Total FP INCONS 174
Total FP COMP 107
Total FN 206
Total Scores
MCC 0.800
Average MCC ± 95% Confidence Intervals 0.817 ± 0.067
Sensitivity 0.814
Positive Predictive Value 0.794
Nr of predictions 63

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2. Individual counts for HotKnots [ 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 0.64 0.61 0.69 11 512 5 0 5 0 7
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 - 1.00 1.00 1.00 29 2411 8 0 0 8 0
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
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 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 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 - 0.53 0.57 0.50 4 536 6 1 3 2 3
3ADB_C - 0.86 0.85 0.88 28 1787 5 0 4 1 5
3AKZ_H 0.48 0.50 0.48 10 1106 13 4 7 2 10
3AM1_B - 0.86 0.86 0.86 25 1437 4 0 4 0 4
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 9 0 5 4 3
3J0L_7 - 0.38 0.50 0.31 5 503 12 4 7 1 5
3J0L_2 - 0.34 0.35 0.35 9 2224 23 2 15 6 17
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 4 0 1 3 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 0.31 0.33 0.30 7 1136 16 3 13 0 14
3NDB_M - 1.00 1.00 1.00 44 3670 4 0 0 4 0
3NKB_B - 0.69 0.74 0.67 14 714 7 0 7 0 5
3NMU_E - 1.00 1.00 1.00 3 213 5 0 0 5 0
3O58_3 0.26 0.36 0.19 8 4722 35 16 18 1 14
3O58_2 0.87 0.87 0.87 27 2723 12 0 4 8 4
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 0.81 0.80 0.82 40 4791 11 3 6 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 0.77 0.76 0.79 22 1505 6 4 2 0 7
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 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 0.49 0.50 0.50 8 1277 15 0 8 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 0.60 0.59 0.63 17 1410 11 4 6 1 12
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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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.