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Cited by 347

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Metagenome Mining Reveals Polytheonamides as Posttranslationally Modified Ribosomal Peptides

Freeman, Michael F., Gurgui, Cristian, Helf, Maximilian J., Morinaka, Brandon I., Uria, Agustinus R., Oldham, Neil J., Sahl, Hans-Georg, Matsunaga, Shigeki, Piel, Jörn·2012·Science

Abstract

Made and Modified: The polytheonamides are 48-residue toxins derived from marine sponges that include 18 D -amino acids, as well as many other unusual amino acid modifications. Given the complexity, one might guess that these peptides are the product of nonribosomal, peptide synthetase (NRPS). However, Freeman et al. (p. 387 , published online 13 September now show that polytheonamides are produced by a bacterial symbiont using a ribosomal pathway. Six candidate enzymes for the 48 posttranslational modifications were identified and three were functionally validated. Such ribosomal systems could be useful in bioengineering.

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Crossref · 10.1126/science.1226121

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Metadata

Authors
Freeman, M. F., Gurgui, C., Helf, M. J., Morinaka, B. I., Uria, A. R., Oldham, N. J., Sahl, H.-G., Matsunaga, S., & Piel, J.
Venue
Science
Published
2012-10-19
Volume
338
Issue
6105
Pages
387-390
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2045636632
Cited by
347
References
28
FWCI
15.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metagenome Mining Reveals Polytheonamides as Posttranslationally Modified Ribosomal Peptides. https://app.cochat.ai/papers/10.1126/science.1226121
The paper
Freeman, M. F., Gurgui, C., Helf, M. J., Morinaka, B. I., Uria, A. R., Oldham, N. J., Sahl, H.-G., Matsunaga, S., & Piel, J. (2012). Metagenome Mining Reveals Polytheonamides as Posttranslationally Modified Ribosomal Peptides. Science. https://doi.org/10.1126/science.1226121

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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.