Table 2 Statistics of performance and suggested sequences from NucleicNet and RNAcompete (RNAC)
From: A deep learning framework to predict binding preference of RNA constituents on protein surface
Figure 4 | a | b | c | d | e | f | g | h |
|---|---|---|---|---|---|---|---|---|
Gene name | PABPC1 | PCBP2 | PTBP1 | RBFOX1 | SNRPA | SRSF2 | TARDBP | U2AF2 |
Sampled PDBID | 1cvj | 2py9 | 2adc | 2err | 1aud | 2lec | 4bs2 | 2g4b |
RNAC ID | 155 | 44 | 269 | 168 | 71 | 72 | 76 | 79 |
RNAC suggested sequence | ARAAAAM | CCYYCCH | HYUUUYU | WGCAUGM | WUGCACR | GGAGWD | GAAUGD | UUUUUYC |
NucleicNet suggested sequence | AAAAAAW | WHCYCUWHCYCU | UUUWYU | URHAUGU | AWUGCAH | WNGAGW | RURWAUGA | UUDWW |
PDB deposited sequence | AAAAAAA | AACCCUAACCCU | CUCUCU | UGCAUGU | AUUGCAC | UGGAGU | GUGAAUGA | UUUUU |
Pearson correlation (RNAC PWM Score vs NucleicNet Score) | 0.81 | 0.70 | 0.73 | 0.27 | 0.74 | 0.32 | 0.77 | 0.72 |
Welch’s t-test statistics (highest 10—lowest 10) | 20.7 | 16 | 25.3 | 5.2 | 6.2 | 7 | 1.7 | 20.2 |
Welch’s t-test P-value | 6.10E-13 | 1.90E-09 | 6.70E-13 | 2.40E-04 | 4.90E-05 | 3.90E-06 | 1.10E-01 | 8.30E-09 |
