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Amino-terminal processing of proteins by N-myristoylation. Substrate specificity of N-myristoyl transferase.

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Towler, D A, Eubanks, S R, Towery, D S, Adams, S P, Glaser, L·1987·Journal of Biological Chemistry

Abstract

Using synthetic octapeptides, we examined the amino-terminal sequence requirements for substrate recognition by myristoyl-CoA:protein N-myristoyl transferase (NMT). NMT is absolutely specific for peptides with amino-terminal Gly residues. Peptides with Asn, Gln, Ser, Val, or Leu penultimate to the amino-terminal Gly were substrates, whereas peptides with Asp, D-Asn, Phe, or Tyr at this position were not myristoylated. Peptides with aromatic residues at this position competitively inhibited myristoylation of substrates, introducing the possibility of developing specific in vivo inhibitors of NMT. Peptides having sequences which correspond to those of known N-myristoyl proteins, including p60src, appear to be recognized by a single enzyme, and yeast and murine NMT have identical substrate specificities. The catalytic selectivity of NMT for myristoyl transfer accounts for the remarkable acyl chain specificity of this enzyme.

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Metadata

Authors
Towler, D. A., Eubanks, S. R., Towery, D. S., Adams, S. P., & Glaser, L.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1987-01
Volume
262
Issue
3
Pages
1030-1036
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1497069032
Cited by
223
References
0
FWCI
8.85
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Amino-terminal processing of proteins by N-myristoylation. Substrate specificity of N-myristoyl transferase. https://app.cochat.ai/papers/10.1016/s0021-9258(19)75745-7
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Towler, D. A., Eubanks, S. R., Towery, D. S., Adams, S. P., & Glaser, L. (1987). Amino-terminal processing of proteins by N-myristoylation. Substrate specificity of N-myristoyl transferase. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(19)75745-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.