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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. Multicyclic peptides are appealing for drug discovery due to their increased potency in inhibiting protein-protein interactions. This review summarizes the heretofore-reported strategies used for the construction of multicyclic phage display libraries. The multicyclization methods applicable to phage include disulfide bond formation, multi-cysteine crosslinking, and crosslinking of cysteine and non-cysteine residues. We also highlight herein the exemplary ligands for therapeutically important proteins discovered through the use of multicyclic phage libraries.+ image
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CHEMBIOCHEM
ISSN: 1439-4227
Year: 2024
Issue: 9
Volume: 25
2 . 6 0 0
JCR@2023
Cited Count:
WoS CC Cited Count: 8
SCOPUS Cited Count: 7
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 0
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