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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric IPknot HotKnots
MCC 0.742 > 0.673
Average MCC ± 95% Confidence Intervals 0.755 ± 0.083 > 0.713 ± 0.088
Sensitivity 0.729 > 0.700
Positive Predictive Value 0.759 > 0.654
Total TP 768 > 737
Total TN 111014 > 110899
Total FP 369 < 536
Total FP CONTRA 82 < 125
Total FP INCONS 162 < 265
Total FP COMP 125 < 146
Total FN 285 < 316
P-value 3.56938820447e-08

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Performance plots


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

  2. Comparison of performance of IPknot and HotKnots. 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 IPknot and HotKnots).

  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 IPknot and HotKnots).

  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 IPknot and HotKnots).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and HotKnots. 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 IPknot and HotKnots).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and HotKnots. 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 IPknot and HotKnots).

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 768
Total TN 111014
Total FP 369
Total FP CONTRA 82
Total FP INCONS 162
Total FP COMP 125
Total FN 285
Total Scores
MCC 0.742
Average MCC ± 95% Confidence Intervals 0.755 ± 0.083
Sensitivity 0.729
Positive Predictive Value 0.759
Nr of predictions 55

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LBS_A - 1.00 1.00 1.00 14 193 0 0 0 0 0
2LC8_A 0.41 0.33 0.55 6 517 5 1 4 0 12
2LDL_A - 1.00 1.00 1.00 9 131 0 0 0 0 0
2LDT_A - 1.00 1.00 1.00 11 151 0 0 0 0 0
2LHP_A - 1.00 1.00 1.00 15 246 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LJJ_A - 1.00 1.00 1.00 7 123 3 0 0 3 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.88 0.86 0.89 25 2412 9 0 3 6 4
2LQZ_A - 1.00 1.00 1.00 8 124 2 0 0 2 0
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
2YIE_Z - 0.53 0.63 0.45 5 591 6 4 2 0 3
2YIE_X - 1.00 1.00 1.00 7 537 3 0 0 3 0
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3J0L_h - 0.90 0.81 1.00 26 2114 2 0 0 2 6
3J0L_8 - 1.00 1.00 1.00 7 69 0 0 0 0 0
3J0L_a - 0.16 0.18 0.18 2 400 10 3 6 1 9
3J0L_1 - 0.83 0.77 0.91 10 473 4 0 1 3 3
3J0L_7 - -0.02 0.00 0.00 0 512 7 1 6 0 10
3J0L_g - -0.01 0.00 0.00 0 174 4 0 2 2 2
3J0L_2 - 0.49 0.46 0.52 12 2227 18 0 11 7 14
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J2C_M - 0.72 0.74 0.71 71 39825 58 13 16 29 25
3J2C_O - 0.98 0.95 1.00 39 3948 4 0 0 4 2
3J2L_3 0.82 0.82 0.82 28 2986 10 0 6 4 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3SIU_F - 0.86 0.75 1.00 6 139 0 0 0 0 2
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
3TS0_U - 1.00 1.00 1.00 6 112 1 0 0 1 0
3TS2_V - 1.00 1.00 1.00 5 103 0 0 0 0 0
3U4M_B - 0.91 0.91 0.91 20 1254 3 2 0 1 2
3UZL_B 0.93 0.88 1.00 14 1279 7 0 0 7 2
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
3W3S_B 0.94 0.91 0.97 30 1958 2 0 1 1 3
3ZEX_F - 0.00 0.00 0.00 0 910 9 0 4 5 4
3ZEX_G - 0.89 0.91 0.87 41 6460 18 5 1 12 4
3ZEX_E - 0.00 0.00 0.00 0 8256 53 19 29 5 34
3ZEX_D 0.81 0.80 0.82 28 2762 10 0 6 4 7
3ZEX_H - 0.28 0.37 0.22 7 3593 25 15 10 0 12
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4A1C_3 0.83 0.81 0.86 30 2728 7 0 5 2 7
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ATO_G - 0.49 0.57 0.44 4 211 6 0 5 1 3
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7
4FNJ_A - 0.91 0.83 1.00 10 240 0 0 0 0 2
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7
4FRN_A 0.79 0.71 0.87 20 1825 3 1 2 0 8
4HXH_A - 1.00 1.00 1.00 6 89 0 0 0 0 0

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Performance of HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 737
Total TN 110899
Total FP 536
Total FP CONTRA 125
Total FP INCONS 265
Total FP COMP 146
Total FN 316
Total Scores
MCC 0.673
Average MCC ± 95% Confidence Intervals 0.713 ± 0.088
Sensitivity 0.700
Positive Predictive Value 0.654
Nr of predictions 55

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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
2LBS_A - 1.00 1.00 1.00 14 193 0 0 0 0 0
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
2LHP_A - 1.00 1.00 1.00 15 246 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LJJ_A - 1.00 1.00 1.00 7 123 3 0 0 3 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
2LQZ_A - 1.00 1.00 1.00 8 124 2 0 0 2 0
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
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
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3J0L_h - 0.87 0.81 0.93 26 2112 4 1 1 2 6
3J0L_8 - 1.00 1.00 1.00 7 69 0 0 0 0 0
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_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_2 - 0.34 0.35 0.35 9 2224 23 2 15 6 17
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_M - 0.83 0.85 0.81 82 39824 58 8 11 39 14
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
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
3TS0_U - 1.00 1.00 1.00 6 112 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_F - -0.01 0.00 0.00 0 908 11 2 4 5 4
3ZEX_G - 0.86 0.84 0.88 38 6464 22 0 5 17 7
3ZEX_E - 0.00 0.00 0.00 0 8255 54 17 32 5 34
3ZEX_D 0.90 0.86 0.94 30 2764 6 0 2 4 5
3ZEX_H - 0.26 0.37 0.19 7 3588 30 19 11 0 12
3ZEX_C -0.01 0.00 0.00 0 5328 46 11 35 0 29
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.