Related Experiment Video
Updated: May 28, 2026
10:12
Construction of Cyclic Cell-Penetrating Peptides for Enhanced Penetration of Biological Barriers
Published on: September 19, 2022
Integrative Peptide Drug Development: Chemical Engineering, AI-Driven Design, and Cell-Penetrating Peptides
Yong Eun Jang1, Minjun Kwon2, Chan Woo Kwon3
1Molecular Science and Technology Research Center, Ajou University, Suwon 16499, Republic of Korea.
Pharmaceutics
|May 27, 2026
Summary
Artificial intelligence (AI) is revolutionizing peptide drug design by accelerating discovery and optimizing properties like stability and delivery. AI-powered tools enable the creation of novel peptide therapeutics, particularly for challenging targets in the nervous and pulmonary systems.
Area of Science:
- Medicinal Chemistry
- Computational Biology
- Drug Discovery
Background:
- Peptide therapeutics offer high specificity and programmability, bridging small molecules and biologics.
- Growing regulatory approvals and pipelines highlight the increasing importance of peptide-based drugs.
- Traditional peptide design faces challenges in stability, delivery, and efficiency.
Purpose of the Study:
- To review chemical modification and design strategies for peptide therapeutics.
- To highlight advances in AI-guided peptide drug design.
- To examine AI applications in enhancing peptide stability, pharmacokinetics, and delivery, especially for cell-penetrating peptides (CPPs).
Main Methods:
- Review of chemical modification approaches and design strategies.
- Analysis of artificial intelligence (AI) tools including machine learning and generative models.
- Evaluation of AI's impact on peptide property prediction, optimization, and de novo design.
- Examination of AI applications in CPP design and therapeutic areas like central nervous and pulmonary systems.
Main Results:
- AI accelerates peptide discovery, prediction, and optimization, reducing experimental attrition.
- AI enables rational design of cell-penetrating peptides (CPPs) for improved intracellular delivery.
- AI facilitates targeted therapeutic applications in the central nervous and pulmonary systems.
Conclusions:
- AI integration significantly enhances peptide drug discovery and development.
- AI-driven design, combined with chemical engineering and delivery tech, is key for robust peptide medicines.
- Future peptide therapeutics will benefit from systematic AI integration and experimental validation.
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