ReviewAngewandte Chemie (International ed. in English)2026
Beyond Nature's Blueprint: Macrocyclic Peptides Containing Unnatural Amino Acids in Therapeutic Development.
Review in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
Abstract
Macrocyclic peptides have emerged as a compelling class of therapeutics, combining the modularity and synthetic accessibility of small molecules with the high affinity and target selectivity of biologics. Their ability to engage challenging and traditionally "undruggable" protein targets-including protein-protein interactions and allosteric sites-has generated widespread interest. However, pharmacokinetic limitations such as poor oral bioavailability, metabolic instability, and low membrane permeability continue to hinder clinical translation. The strategic incorporation of unnatural amino acids (UAAs) has proven critical for overcoming these challenges, enabling fine-tuning of key physicochemical and pharmacological properties. In this review, we highlight recent clinical advances-including motixafortide and zilucoplan-and examine how UAAs are deployed to optimize drug-like characteristics across diverse therapeutic areas. We discuss emerging strategies, illustrative case studies, and design principles that collectively support the development of next-generation macrocyclic peptide drugs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.