Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Predicting cell-penetrating peptides.

Mats Hansen1, Kalle Kilk, Ulo Langel

  • 1Department of Neurochemistry, Stockholm University 10691, Stockholm, Sweden. mats@neurochem.su.se

Advanced Drug Delivery Reviews
|November 30, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Culture-based studies of intestinal lactobacilli in young people and centenarians.

Frontiers in microbiology·2026
Same author

Metabolomics reveals early predictors of blastocyst formation in equine ICSI-derived embryos.

Theriogenology·2026
Same author

Shifts in amino acids profile in chronic pancreatitis.

PloS one·2026
Same author

Negr1 deficiency alters glutamate signalling and kynurenine pathway in a mouse model of psychiatric disorders.

Scientific reports·2026
Same author

Carbon dot-based polyplexes with cell penetration peptides for gene transfection.

RSC advances·2025
Same author

Femoral arteriovenous concentration differences reveal metabolomic shifts in peripheral artery disease (PAD): A case-control study.

Vascular medicine (London, England)·2025
Same journal

Silicone oil in protein drug products and its implications for formulation stability.

Advanced drug delivery reviews·2026
Same journal

Targeted delivery of proteolysis-targeting chimeras (PROTAC) and molecular glue degraders (MGD).

Advanced drug delivery reviews·2026
Same journal

Lysosome-targeting degrader delivery system: from formulation design to biomedical applications.

Advanced drug delivery reviews·2026
Same journal

Anti-PEG antibodies in nanomedicine: Mechanisms, risks, and opportunities.

Advanced drug delivery reviews·2026
Same journal

Optimizing macrophage-targeted intracellular delivery systems for safe and effective immunotherapies.

Advanced drug delivery reviews·2026
Same journal

Light-controlled CRISPR-dCas9 epigenome editing: advanced drug-delivery strategies and oncology applications.

Advanced drug delivery reviews·2026
See all related articles

Predicting cell-penetrating peptides (CPPs) is key for drug delivery. This review examines challenges in CPP prediction, compares methods, and suggests improvements for designing potent peptide sequences.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Delivery Systems

Background:

  • Cell-penetrating peptides (CPPs) are crucial for delivering molecules into cells.
  • Current CPP prediction methods often rely on trial and error, limiting discovery.
  • Developing effective intracellular delivery vectors is a significant challenge in therapeutics.

Purpose of the Study:

  • To review the challenges and limitations in predicting cell-penetrating peptide (CPP) sequences.
  • To compare various existing methods used for CPP prediction.
  • To propose strategies for designing novel CPP sequences and enhancing prediction accuracy.

Main Methods:

  • Literature review of existing CPP prediction methodologies.
  • Comparative analysis of different CPP prediction approaches.

Related Experiment Videos

  • Discussion of common problems encountered in CPP sequence identification.

    • Main Results:

    • Identified significant challenges in the accurate and efficient prediction of CPPs.
    • Highlighted the limitations of current trial-and-error based prediction strategies.
    • Compared the strengths and weaknesses of various CPP prediction techniques.

    Conclusions:

    • Accurate CPP prediction is essential for advancing peptide-based intracellular delivery.
    • Improvements in prediction methodologies are needed to overcome current limitations.
    • Strategic design and enhanced prediction can lead to more potent CPPs for therapeutic applications.