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Cited by 888

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Biosynthesis of Nonribosomal Peptides

Finking, Robert, Marahiel, Mohamed A.·2004·Annual Review of Microbiology

Abstract

▪ Abstract Bacteria and fungi use large multifunctional enzymes, the so-called nonribosomal peptide synthetases (NRPSs), to produce peptides of broad structural and biological activity. Biochemical studies have contributed substantially to the understanding of the key principles of these modular enzymes that can draw on a much larger number of catalytic tools for the incorporation of unusual features compared with the ribosomal system. Several crystal structures of NRPS-domains have yielded deep insight into the catalytic mechanisms involved and have led to a better prediction of the products assembled and to the construction of hybrid enzymes. In addition to the structure-function relationship of the core- and tailoring-domains of NRPSs, which is the main focus of this review, different biosynthetic strategies and essential enzymes for posttranslational modification and editing are discussed.

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Crossref · 10.1146/annurev.micro.58.030603.123615

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Metadata

Authors
Finking, R., & Marahiel, M. A.
Venue
Annual Review of Microbiology
Published
2004-10-01
Volume
58
Issue
1
Pages
453-488
ISSN
  • 0066-4227 (ISSN-L)
  • 1545-3251
OpenAlex
W2124254997
Cited by
888
References
2
FWCI
3.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biosynthesis of Nonribosomal Peptides. https://app.cochat.ai/papers/10.1146/annurev.micro.58.030603.123615
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Finking, R., & Marahiel, M. A. (2004). Biosynthesis of Nonribosomal Peptides. Annual Review of Microbiology. https://doi.org/10.1146/annurev.micro.58.030603.123615

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.