From: Machine learning prediction of oncology drug targets based on protein and network properties
Name of the method | Predicted Feature | Reference website |
---|---|---|
NetPhos [45] | phosphorylation sites | |
GlycoMine [46] | glycosylation sites | |
WESA [47] | solvent accessibility | |
Garnier [48] | secondary protein structure | |
Epestfind [41] | PEST motif | |
SignalP [49] | signal peptide cleavage site | |
CELLO [50] | cellular sub-localization | |
TMHMM [51] | presence of transmembrane helices |