Evidence map›Paper›PMID 39795918›Full record

ReviewInternational journal of molecular sciences2024

Exploring the Chemical Features and Biomedical Relevance of Cell-Penetrating Peptides.

Liliana Marisol Moreno-Vargas, Diego Prada-Gracia

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  5. INBAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  7. Article
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  16. Article
  17. Cancer-Targeting Applications of Cell-Penetrating Peptides.International journal of molecular sciences · 2024
    Review
  18. 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

2 authors.

Liliana Marisol Moreno-VargasResearch Unit on Computational Biology and Drug Design, Children's Hospital of Mexico Federico Gómez, Mexico City 06720, Mexico.ORCID 0000-0003-2812-1499
Diego Prada-GraciaResearch Unit on Computational Biology and Drug Design, Children's Hospital of Mexico Federico Gómez, Mexico City 06720, Mexico.ORCID 0000-0003-3375-870X

Funding

Hospital Infantil de México Federico Gómez HIM/2018/099 SSA. 1535
6 · The paper itself

Abstract

Cell-penetrating peptides (CPPs) are a diverse group of peptides, typically composed of 4 to 40 amino acids, known for their unique ability to transport a wide range of substances-such as small molecules, plasmid DNA, small interfering RNA, proteins, viruses, and nanoparticles-across cellular membranes while preserving the integrity of the cargo. CPPs exhibit passive and non-selective behavior, often requiring functionalization or chemical modification to enhance their specificity and efficacy. The precise mechanisms governing the cellular uptake of CPPs remain ambiguous; however, electrostatic interactions between positively charged amino acids and negatively charged glycosaminoglycans on the membrane, particularly heparan sulfate proteoglycans, are considered the initial crucial step for CPP uptake. Clinical trials have highlighted the potential of CPPs in diagnosing and treating various diseases, including cancer, central nervous system disorders, eye disorders, and diabetes. This review provides a comprehensive overview of CPP classifications, potential applications, transduction mechanisms, and the most relevant algorithms to improve the accuracy and reliability of predictions in CPP development.

Indexed as

Cell-Penetrating PeptidesAnimalsCell MembraneHumansCell-Penetrating Peptidescargo deliverycell-penetrating peptidescellular uptakephysical–chemical propertiesprediction of CPPs

Identifiers

PMID39795918
PMCPMC11720145

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.