Evidence map›Paper›PMID 42574075›Full record

ReviewAngewandte Chemie (International ed. in English)2026

Beyond Simple Mimicry: Next-Generation Geometric Architectures and Future Paradigms in Small-Molecule and Macrocyclic Peptidomimetics.

Jesang Lee, Sumin Son, Jeong Yeon Yoo, Ji Hyae Lee, Meehyun Chun, Seung Bum Park

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jesang LeeDepartment of Chemistry, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0000-0001-7854-6730
Sumin SonDepartment of Chemistry, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0009-0005-2999-1260
Jeong Yeon YooDepartment of Chemistry, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0009-0001-0475-0357
Ji Hyae LeeDepartment of Chemistry, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-4527-4174
Meehyun ChunDepartment of Chemistry, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0009-0002-3272-6837
Seung Bum ParkDepartment of Chemistry, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0000-0003-1753-1433

Funding

Basic Research Program RS-2025-00514527 to S.B.PBiomedical Research Program RS-2024-00438764 to S.B.PKorean Government (Ministry of Science and ICT, MSIT)SPARK Biopharma
6 · The paper itself

Abstract

Peptidomimetics have matured from motif‑based inhibitors into a structural engineering discipline that systematically translates peptide recognition surfaces into drug‑like scaffolds. Driven by the urgent clinical demand to overcome the inherent pharmacological liabilities of biomolecules, the field is undergoing a decisive Peptide-to-Small Molecule paradigm shift-functionally converting peptide-derived recognition motifs into orally bioavailable synthetic therapeutics. This Perspective highlights how foundational geometric design principles-linear repetition, convergent fusion, and cyclization-define next‑generation architectures capable of targeting complex protein-protein interactions (PPIs). Repeating‑unit oligomers exemplify linear projection strategies, heterocycle‑centered scaffolds embody the convergent fusion of recognition motifs, and macrocyclic frameworks pre-organize bioactive conformations while enabling access to non‑canonical topologies. Beyond simple mimicry, these architectures increasingly embrace dynamic responsiveness, aggregation remodeling, and universal multi‑structure platforms. We argue that the convergence of geometric logic with automated synthesis and AI‑driven design will transform peptidomimetics into a primary modality for decoding and therapeutically engaging the human interactome, including historically "undruggable" PPIs.

Indexed as

Macrocyclic CompoundsPeptidomimeticsSmall Molecule LibrariesHumansMacrocyclic CompoundsPeptidomimeticsSmall Molecule Librariesbiomoleculechemical biologydrug discoveryinteractomemolecular mimicrypeptidomimeticprotein–protein interactionrational design

Identifiers

PMID42574075
PMCPMC13618306

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.