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 0.756 > 0.701
Average MCC ± 95% Confidence Intervals 0.791 ± 0.062 > 0.734 ± 0.064
Sensitivity 0.772 > 0.686
Positive Predictive Value 0.749 > 0.725
Total TP 1082 > 962
Total TN 85161 < 85280
Total FP 493 > 465
Total FP CONTRA 98 < 101
Total FP INCONS 265 > 263
Total FP COMP 130 > 101
Total FN 320 < 440
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. 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).

  3. 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).

  4. 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).

  5. 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).

  6. 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 1082
Total TN 85161
Total FP 493
Total FP CONTRA 98
Total FP INCONS 265
Total FP COMP 130
Total FN 320
Total Scores
MCC 0.756
Average MCC ± 95% Confidence Intervals 0.791 ± 0.062
Sensitivity 0.772
Positive Predictive Value 0.749
Nr of predictions 75

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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_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L1F_A 1.00 1.00 1.00 23 740 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_g - -0.01 0.00 0.00 0 173 5 1 2 2 2
3J0L_a - 0.55 0.64 0.50 7 397 8 5 2 1 4
3J0L_2 - 0.34 0.35 0.35 9 2224 23 2 15 6 17
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
3J16_L 0.31 0.33 0.30 7 1136 16 3 13 0 14
3J20_1 0.75 0.75 0.75 15 1092 8 0 5 3 5
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J2C_O - 0.71 0.68 0.74 28 3949 15 3 7 5 13
3J2L_3 0.80 0.82 0.78 28 2984 12 1 7 4 6
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
3W3S_B 0.60 0.61 0.61 20 1956 14 4 9 1 13
3ZEX_D 0.90 0.86 0.94 30 2764 6 0 2 4 5
3ZEX_E - 0.00 0.00 0.00 0 8255 54 17 32 5 34
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
4ATO_G - 0.72 1.00 0.54 7 207 6 6 0 0 0
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
4FNJ_A - 0.91 0.83 1.00 10 240 0 0 0 0 2
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.59 0.57 0.62 16 1822 10 2 8 0 12
4HXH_A - 1.00 1.00 1.00 6 89 0 0 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 962
Total TN 85280
Total FP 465
Total FP CONTRA 101
Total FP INCONS 263
Total FP COMP 101
Total FN 440
Total Scores
MCC 0.701
Average MCC ± 95% Confidence Intervals 0.734 ± 0.064
Sensitivity 0.686
Positive Predictive Value 0.725
Nr of predictions 75

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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_B 0.93 0.88 1.00 21 770 0 0 0 0 3
2L1F_A 0.93 0.87 1.00 20 743 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_g - -0.01 0.00 0.00 0 174 4 0 2 2 2
3J0L_a - 0.17 0.18 0.20 2 401 9 3 5 1 9
3J0L_2 - 0.49 0.46 0.52 12 2227 18 0 11 7 14
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
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3J20_1 0.71 0.75 0.68 15 1090 8 2 5 1 5
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J2C_O - 0.51 0.49 0.54 20 3950 19 1 16 2 21
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
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
3W3S_B 0.48 0.45 0.52 15 1960 15 1 13 1 18
3ZEX_D 0.69 0.69 0.71 24 2762 11 5 5 1 11
3ZEX_E - 0.00 0.00 0.00 0 8258 51 15 31 5 34
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
4ATO_G - 0.88 1.00 0.78 7 211 2 2 0 0 0
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
4FNJ_A - 0.81 0.67 1.00 8 242 0 0 0 0 4
4FRG_B 0.93 0.88 1.00 21 1181 0 0 0 0 3
4FRN_A 0.23 0.18 0.31 5 1832 11 7 4 0 23
4HXH_A - 1.00 1.00 1.00 6 89 0 0 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.