Table 2.
Ser/Thr | Surrounding sequencea | Autophosphorylationb | ANNc | PSSMd | SVMe |
---|---|---|---|---|---|
Ser-2 | MS∗SALRS | + | − | − | − |
Ser-3 | MSS∗ALRSR | + | − | − | − |
Ser-11 | RSRARS∗ASLGT | + | + | + | − |
Ser-13 | RARSAS∗LGTTT | + | + | + | + |
Thr-16 | SASLGT∗TTQGW | + | − | − | − |
Thr-18 | SLGTTT∗QGWDP | + | − | − | − |
Ser-133 | RPVVPS∗TSSRG | + | − | − | − |
Thr-134 | PVVPST∗SSRGS | + | − | − | − |
Thr-154 | LRCRET∗SAMWS | − | + | − | − |
Ser-155 | RCRETS∗AMWSF | − | + | + | − |
Thr-177 | RRALFT∗GGSDP | + | − | − | − |
Thr-298 | MFLRLT∗HPELC | − | + | + | − |
Ser-361 | VARKHS∗ETVLT | − | + | + | + |
Thr-409 | LLHNVT∗VHRRF | − | + | − | − |
Thr-416 | HRRFHT∗DMFHH | − | + | + | − |
Thr-689 | AFRRTT∗SIICE | − | + | + | − |
Ser-690 | FRRTTS∗IICEE | − | + | + | + |
Ser/Thr sites (∗) and surrounding sequence.
+, known autophosphorylation site.
ANN, Artificial Neural Network (cut-off = 0.55).
PSSM, Position-Specific Scoring Matrix (cut-off = 0.80).
SVM, Support Vector Machine (cut-off =0.55).