Evidence map›Paper›PMID 38877295›Full record

ReviewFEBS open bio2025

Structural information in therapeutic peptides: Emerging applications in biomedicine.

Valentín Iglesias, Oriol Bárcenas, Carlos Pintado-Grima, Michał Burdukiewicz, Salvador Ventura

Abstract readReview
In one paragraph

Review in FEBS open bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. ReaxFF-Guided Optimization of VIRIP-Based HIV-1 Entry Inhibitors.The journal of physical chemistry. B · 2025
    Article
  10. Article
  11. The role of amphipathic and cationic helical peptides in Parkinson's disease.Protein science : a publication of the Protein Society · 2025
    Review
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

5 authors.

Valentín IglesiasInstitut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-6133-0869
Oriol BárcenasInstitut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-8439-4005
Carlos Pintado-GrimaInstitut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-8544-959X
Michał BurdukiewiczInstitut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-8926-582X
Salvador VenturaInstitut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-9652-6351

Funding

European Social Fund Plus 2023 FI_3 00018European Union-NextGenerationEUGeneralitat of Catalunya 2021-SGR-00635 AGAURInstitució Catalana de Recerca i Estudis Avançats ICREA-Academia 2020Ministerio de Ciencia e Innovación FPU22/03656Ministerio de Ciencia e Innovación PID2019-105017RB-I00
6 · The paper itself

Abstract

Peptides are attracting a growing interest as therapeutic agents. This trend stems from their cost-effectiveness and reduced immunogenicity, compared to antibodies or recombinant proteins, but also from their ability to dock and interfere with large protein-protein interaction surfaces, and their higher specificity and better biocompatibility relative to organic molecules. Many tools have been developed to understand, predict, and engineer peptide function. However, most state-of-the-art approaches treat peptides only as linear entities and disregard their structural arrangement. Yet, structural details are critical for peptide properties such as solubility, stability, or binding affinities. Recent advances in peptide structure prediction have successfully addressed the scarcity of confidently determined peptide structures. This review will explore different therapeutic and biotechnological applications of peptides and their assemblies, emphasizing the importance of integrating structural information to advance these endeavors effectively.

Indexed as

PeptidesHumansProtein ConformationPeptidesantimicrobial peptidespeptide drug developmentpeptidespeptide structuretherapeutic peptidestranslational medicine

Identifiers

PMID38877295
PMCPMC11788753

What OpenQuestion holds

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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 OpenQuestion graph.