Using display technologies to identify macrocyclic peptide antibiotics.

Autor: Randall JR; University of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA. Electronic address: justrand@utexas.edu., Wang X; University of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA., Groover KE; University of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA., O'Donnell AC; University of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA., Davies BW; University of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA. Electronic address: bwdavies@utexas.edu.
Jazyk: angličtina
Zdroj: Biochimica et biophysica acta. Molecular cell research [Biochim Biophys Acta Mol Cell Res] 2023 Jun; Vol. 1870 (5), pp. 119473. Date of Electronic Publication: 2023 Apr 01.
DOI: 10.1016/j.bbamcr.2023.119473
Abstrakt: Antibiotic resistant bacterial infections are now a leading cause of global mortality. While drug resistance continues to spread, the clinical antibiotic pipeline has become bare. This discord has focused attention on developing new strategies for antimicrobial discovery. Natural macrocyclic peptide-based products have provided novel antibiotics and antibiotic scaffolds targeting several essential bacterial cell envelope processes, but discovery of such natural products remains a slow and inefficient process. Synthetic strategies employing peptide display technologies can quickly screen large libraries of macrocyclic sequences for specific target binding and general antibacterial potential providing alternative approaches for new antibiotic discovery. Here we review cell envelope processes that can be targeted with macrocyclic peptide therapeutics, outline important macrocyclic peptide display technologies, and discuss future strategies for both library design and screening.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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