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author:

Chen, F.-J. (Chen, F.-J..) [1] | Pinnette, N. (Pinnette, N..) [2] | Gao, J. (Gao, J..) [3]

Indexed by:

Scopus

Abstract:

Peptide therapeutics have gained great interest due to their multiple advantages over small molecule and antibody-based drugs. Peptide drugs are easier to synthesize, have the potential for oral bioavailability, and are large enough to target protein-protein interactions that are undruggable by small molecules. However, two major limitations have made it difficult to develop novel peptide therapeutics not derived from natural products, including the metabolic instability of peptides and the difficulty of reaching antibody-like potencies and specificities. Compared to linear and disulfide-monocyclized peptides, multicyclic peptides can provide increased conformational rigidity, enhanced metabolic stability, and higher potency in inhibiting protein-protein interactions. The identification of novel multicyclic peptide binders can be difficult, however, recent advancements in the construction of multicyclic phage libraries have greatly advanced the process of identifying novel multicyclic peptide binders for therapeutically relevant protein targets. This review will describe the current approaches used to create multicyclic peptide libraries, highlighting the novel chemistries developed and the proof-of-concept work done on validating these libraries against different protein targets. © 2024 Wiley-VCH GmbH.

Keyword:

cyclic peptide cysteine ligand discovery multicyclization phage display

Community:

  • [ 1 ] [Chen F.-J.]College of Chemistry, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 2 ] [Pinnette N.]Department of Chemistry, Boston College, Merkert Chemistry Center 2609 Beacon Street, Chestnut Hill, MA-02467, United States
  • [ 3 ] [Gao J.]Department of Chemistry, Boston College, Merkert Chemistry Center 2609 Beacon Street, Chestnut Hill, MA-02467, United States

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Source :

ChemBioChem

ISSN: 1439-4227

Year: 2024

Issue: 9

Volume: 25

2 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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