Evidence mapPaperPMID 42010675Full record

ReviewJournal of translational medicine2026

α-Helical peptides: design strategies and recent advances in biomedical applications.

Mengyuan Yin, Fei Ding, Guanghua Luo, Miaomei Yu

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 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

4 authors.

Mengyuan YinClinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
Fei DingClinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
Guanghua LuoClinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China. shineroar@163.com.
Miaomei YuClinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China. yumiaomei@126.com.ORCID http://orcid.org/0000-0002-8287-0725

Funding

Changzhou Health Talents Overseas Training Project GW202503The Applied Basic Research Project of Changzhou CJ20241106The National Natural Science Foundation of China 82201509The Top Talent of Changzhou "The 14th Five-Year Plan" High-Level Health Talents Training Project 2024CZBJ012
6 · The paper itself

Abstract

backgroundThe α-helix, a fundamental and highly versatile secondary structure in proteins, holds substantial promise in biomedicine owing to its characteristic right-handed helical conformation, regular hydrogen-bonding network, and predictable side-chain arrangement. MAIN BODY: This review systematically outlines the structural features and stabilization mechanisms of α-helical peptides, along with core strategies in drug design, including solid-phase peptide synthesis (SPPS), ring-opening polymerization (ROP) of N-carboxyanhydrides (NCAs), conformational stapling, non-natural amino acid incorporation, and stimuli-responsive modifications. We also highlight frontier advances in computational simulation and deep-learning approaches for de novo structural prediction and functional optimization. Regarding applications, this review elaborates on the mechanisms and recent progress of α-helical peptides in antimicrobial and anticancer therapies, immunomodulation, and tissue engineering, covering membrane-targeting mechanisms, immune cell modulation, vaccine design, drug delivery systems, and bioactive regenerative scaffolds.

conclusionsDespite their superior biocompatibility, functional programmability, and translational potential of α-helical peptides, challenges remain including in vivo stability, scalable manufacturing, and optimizing pharmacokinetics. Future advances driven by multidisciplinary integration and artificial intelligence (AI)-guided design are expected to further enable α-helical peptides as pivotal tools in precision and regenerative medicine.

Indexed as

Drug DesignPeptidesAnimalsDrug Delivery SystemsHumansProtein Conformation, alpha-HelicalPeptidesAnticancer therapyAntimicrobial peptidesDrug deliveryImmunomodulationTissue engineeringα-Helical peptides

Identifiers

PMID42010675
PMCPMC13231750

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.