Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

A Machine-Learning-Based Approach to Informing Student Admission Decisions.

Behavioral sciences (Basel, Switzerland)·2025

Same author

Accounting for item calibration error in computerized adaptive testing.

Behavior research methods·2025

Same author

Methodological aspects of the highly adaptive testing design for PISA.

Frontiers in psychology·2024

Same author

Parallel detection of multiple biomarkers in a point-of-care-competent device for the prediction of exacerbations in chronic inflammatory lung disease.

Scientific reports·2024

Same author

The Dual Role of the Airway Epithelium in Asthma: Active Barrier and Regulator of Inflammation.

Cells·2023

Same author

Determinants of higher education teachers' intention to use technology-based exams.

Education and information technologies·2022

Search research articles

Related Experiment Video

Updated: Oct 13, 2025

Construction of Cyclic Cell-Penetrating Peptides for Enhanced Penetration of Biological Barriers

Construction of Cyclic Cell-Penetrating Peptides for Enhanced Penetration of Biological Barriers

Published on: September 19, 2022

Artificial Evolutionary Optimization Process to Improve the Functionality of Cell Penetrating Peptides.

Niels Röckendorf¹, Katrin Ramaker¹, Andreas Frey²

¹Department of Mucosal Immunology and Diagnostics, Priority Area Asthma and Allergy, Research Center Borstel - Leibniz Lung Center, Borstel, Germany.

Methods in Molecular Biology (Clifton, N.J.)

|November 12, 2021

Summary

This study introduces an evolutionary "breeding" method to efficiently identify and optimize cell-penetrating peptides (CPPs) for specific applications. This Darwinian evolution approach accelerates the discovery of high-performing CPPs for various uses.

Keywords:

CPP Fitness value Genetic algorithm Lead peptide Molecular evolution Population diversity Ranking

More Related Videos

Fluorescent Leakage Assay to Investigate Membrane Destabilization by Cell-Penetrating Peptide

Fluorescent Leakage Assay to Investigate Membrane Destabilization by Cell-Penetrating Peptide

Published on: December 19, 2020

In Vesiculo Synthesis of Peptide Membrane Precursors for Autonomous Vesicle Growth

In Vesiculo Synthesis of Peptide Membrane Precursors for Autonomous Vesicle Growth

Published on: June 28, 2019

Related Experiment Videos

Last Updated: Oct 13, 2025

Construction of Cyclic Cell-Penetrating Peptides for Enhanced Penetration of Biological Barriers

Construction of Cyclic Cell-Penetrating Peptides for Enhanced Penetration of Biological Barriers

Published on: September 19, 2022

Fluorescent Leakage Assay to Investigate Membrane Destabilization by Cell-Penetrating Peptide

Fluorescent Leakage Assay to Investigate Membrane Destabilization by Cell-Penetrating Peptide

Published on: December 19, 2020

In Vesiculo Synthesis of Peptide Membrane Precursors for Autonomous Vesicle Growth

In Vesiculo Synthesis of Peptide Membrane Precursors for Autonomous Vesicle Growth

Published on: June 28, 2019

Area of Science:

Biotechnology and Molecular Biology
Drug Delivery Systems
Bioinformatics and Computational Biology

Background:

Cell-penetrating peptides (CPPs) possess versatile membrane crossing abilities, crucial for various applications.
The vast molecular space of CPPs makes identifying optimal candidates for specific tasks challenging.
Current screening methods are often inefficient for large-scale CPP identification.

Purpose of the Study:

To develop an efficient, supervised method for screening and optimizing cell-penetrating peptides.
To leverage evolutionary principles for accelerated CPP discovery and functional enhancement.
To facilitate the identification of CPPs tailored for specific biological or therapeutic applications.

Main Methods:

Implementation of a 'mate-and-check' protocol combining in silico (computational) evolution.
Integration of in vitro performance testing for functional validation of evolved peptides.
Application of Darwinian evolution principles to iteratively breed and refine CPP candidates.

Main Results:

Successful demonstration of a breeding protocol to optimize CPPs for specific tasks.
Achieved optimized cell-penetrating peptides in a few rounds of the evolutionary process.
Validated the potential for further improvement and functional adjustment of even top-performing peptides.

Conclusions:

The presented evolutionary breeding method significantly accelerates the identification and optimization of CPPs.
This approach requires robust and reproducible biological assays for accurate functional output.
The technology offers a powerful tool for enhancing and tailoring CPP performance for diverse applications.