The ability to reliably predict myristoylation from sequence data alone is extremely useful in determining subcellular localization and function in cases where direct biochemical measurements are unavailable. Source text: Podell and Gribskov, 2004.

Plant-Specific…
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Plant-Specific Myristoylation Predictor

Searches for matches to a plant-specific target sequence for N-terminal…

Searches for matches to a plant-specific target sequence for N-terminal myristoylation. The search uses a profile hidden Markov model, 19 residues long, that has been trained on known and probably…

Myristoylator
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Myristoylator

Predicts N-terminal myristoylation of proteins by neural networks. We used…

Predicts N-terminal myristoylation of proteins by neural networks. We used ensembles of neural networks, in order to learn to discriminate positive and negative sequences for myristoylation. Note…

NMT
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NMT

Recognizes glycine N-myristoylation sites (at the N-terminus and for fragments…

Recognizes glycine N-myristoylation sites (at the N-terminus and for fragments after processing) of higher eukaryotes (including their viruses) and fungi. The PTS1 signal predictor finds proteins…

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