Post-Translational Modifications
N-Terminal Modifications
TermiNator predicts N-terminal methionine excision, N-terminal acetylation, N-terminal myristoylation and S-palmitoylation of either prokaryotic or eukaryotic proteins originating from organellar or nuclear genomes .
http://www.isv.cnrs-gif.fr/terminator2/index.html
Acetylation
NetAcet 1.0 server predicts substrates of N-acetyltransferase A (NatA).
http://www.cbs.dtu.dk/services/NetAcet/
Lysine glycation
Glycation of epsilon amino groups of lysines in mammalian proteins
http://www.cbs.dtu.dk/services/NetGlycate/
Mannosylation
Predictions of C-mannosylation sites in mammalian proteins.
http://www.cbs.dtu.dk/services/NetCGlyc/
Myristoylation
Myristoylator predicts N-terminal myristoylation of proteins by neural networks. Only N-terminal glycines are myristoylated (leading methionines are cleaved prior to myristoylation).
http://www.expasy.org/tools/myristoylator/
N-terminal N-Myristoylation of Proteins
http://mendel.imp.ac.at/myristate/SUPLpredictor.htm
Plant-Specific Myristoylation Predictor
http://plantsp.genomics.purdue.edu/plantsp/html/myrist.html
N-glycosylation
Predicts N-Glycosylation sites in human proteins using artificial neural networks that examine the sequence context of Asn-Xaa-Ser/Thr sequons.
http://www.cbs.dtu.dk/services/NetNGlyc/
O-glycosylation
Predictions of mucin type GalNAc O-glycosylation sites in mammalian proteins.
http://www.cbs.dtu.dk/services/NetOGlyc/
OGPET is an algorithm to predict potential O-glycosylation sites in proteins.
http://ogpet.utep.edu/OGPET/
Predictions for GlcNAc O-glycosylation sites in Dictyostelium discoideum
http://www.cbs.dtu.dk/services/DictyOGlyc/
O-beta-GlcNAc attachment sites in eukaryotic protein sequences. The YinOYang WWW server produces neural network predictions for O-ß-GlcNAc attachment sites in eukaryotic protein sequences. This server can also use NetPhos, to mark possible phosphorylated sites and hence identify "Yin-Yang" sites.
http://www.cbs.dtu.dk/services/YinOYang/
S-palmitoylation
Phosphorylation
The NetPhos 2.0 server produces neural network predictions for serine, threonine and tyrosine phosphorylation sites in eukaryotic proteins.
http://www.cbs.dtu.dk/services/NetPhos/
The NetPhosK 1.0 server produces neural network predictions of kinase specific eukaryotic protein phosphoylation sites. Currently NetPhosK covers the following kinases: PKA, PKC, PKG, CKII, Cdc2, CaM-II, ATM, DNA PK, Cdk5, p38 MAPK, GSK3, CKI, PKB, RSK, INSR, EGFR and Src.
http://www.cbs.dtu.dk/services/NetPhosK/
NetPhosYeast 1.0 server predicts serine and threonine phosphorylation sites in yeast proteins.
http://www.cbs.dtu.dk/services/NetPhosYeast/
Scan protein for predicted phosphorylation sites for PKC
http://156.40.231.198/ProteinScan/ScanProteinForPKCSitesPage.aspx
PhosphoMotif Finder contains known kinase/phosphatase substrate as well as binding motifs that are curated from the published literature. It reports the PRESENCE of any literature-derived motif in the query sequence.
http://www.hprd.org/PhosphoMotif_finder
Prenylation
Prenylation Prediction Suite: Protein CaaX Farnesylation, CaaX Geranylgeranylation and Rab Geranylgeranylation
http://mendel.imp.ac.at/sat/PrePS/index.html
Sumoylation
The SUMOplot™ Analysis Program predicts and scores sumoylation sites in your protein. The presence of this post-translational modification may help explain larger MWs than expected on SDS gels due to attachment of SUMO protein (11kDa) at multiple positions in your protein.
http://www.abgent.com.cn/doc/sumoplot/login.asp
Tyrosine sulfation
The Sulfinator predicts tyrosine sulfation sites in protein sequences
http://www.expasy.org/tools/sulfinator/
SulfoSite is to computationally predict sulfation sites within given protein sequences. A representative set of 162 protein tyrosine sufation sites from the Swiss-Port were used to analyze characteristics and to train and test in SulfoSite. Support Vector Machine (SVM) is applied for learning to each group of sequences and accessible surface area (ASA) value surrounding to the sulfation residues.
http://sulfosite.mbc.nctu.edu.tw/