※ Prediction of lipid modification sites
If your sequences > 1000,
please download the local version to predict.
The local version
is more powerful and has more functions.
All the spaces,
line breaks
will be automatically removed. You could input one
primary sequence or
multiple proteins' sequences
in FASTA format.
After lipid modification predictor model was well-trained, we performed an evaluation on this model. From the evaluation, three thresholds with High, Medium and Low stringency were chosen for lipid modification. The performance under these three thresholds was presented as follow:
Modification Type |
Threshold
|
Ac |
Sn |
Sp |
MCC |
Pr |
S-Palmitoylation |
High |
0.9305 |
0.8365 |
0.9487 |
0.7556 |
0.7594 |
Medium |
0.8939 |
0.864 |
0.8997 |
0.6751 |
0.6252 |
|
Low |
0.8624 |
0.9208 |
0.8511 |
0.6379 |
0.5448 |
|
N-Myristoylation |
High |
0.9908 |
0.8584 |
0.9953 |
0.8537 |
0.8584 |
Medium |
0.9799 |
0.9204 |
0.9819 |
0.7525 |
0.6303 |
|
Low |
0.9519 |
0.9646 |
0.9514 |
0.6038 |
0.3993 |
|
S-Farnesylation |
High |
0.9324 |
0.8171 |
0.9478 |
0.706 |
0.6768 |
Medium |
0.9309 |
0.8902 |
0.9364 |
0.7253 |
0.6518 |
|
Low |
0.9252 |
0.9634 |
0.9201 |
0.7353 |
0.6172 |
|
S-Geranylgeranylation |
High |
0.9696 |
0.9437 |
0.9792 |
0.9228 |
0.9437 |
Medium |
0.9429 |
0.9577 |
0.9375 |
0.8638 |
0.8500 |
|
Low |
0.9202 |
0.9859 |
0.8958 |
0.8251 |
0.7778 |