This comprehensive review catalogs all major categories of peptide-based drug delivery biomaterials — excipients, self-assembling structures, and linkers — along with the optimization strategies that make them work.
3 functional categoriesThe review organizes the entire peptide biomaterials landscape into excipients, self-assembling systems, and linkers — providing a unified framework for a fragmented field
What the researchers found
The review organizes peptide-based biomaterials into three major functional categories:
1. **Peptide excipients**: Cell-penetrating peptides (CPPs) enable intracellular delivery via direct membrane penetration or endocytosis; tight junction modulating peptides open passages between cells; peptide surfactants and stabilizers protect drug formulations.
2. **Self-assembling peptides**: These spontaneously form nanospheres, cyclic nanotubes, nanovesicles, micelles, hydrogels, and depot systems for controlled and sustained drug release.
3. **Peptide linkers**: Used in antibody-drug conjugates (ADCs), peptide-drug conjugates (PDCs), and prodrugs to achieve site-specific drug release triggered by tumor-associated enzymes or pH changes.
Optimization strategies include cyclization, stapling, D-amino acid incorporation, functional motif integration, and AI-assisted combinatorial discovery.
Why it matters
Drug delivery is often the biggest bottleneck in turning a promising therapeutic molecule into an effective medicine. Peptide-based biomaterials solve multiple delivery challenges — getting drugs inside cells, controlling release timing, targeting specific tissues, and improving stability. This review provides a unified framework for understanding the full spectrum of peptide delivery technologies, which is increasingly important as the field moves toward more complex therapeutic modalities like gene therapies, siRNA drugs, and targeted cancer conjugates that all depend on effective delivery.
The numbers in context
Covers CPPs, tight junction peptides, surfactants, nanospheres, nanotubes, nanovesicles, micelles, hydrogels, depots, ADC/PDC/prodrug linkers; optimization via cyclization, stapling, D-amino acids, AI
How the study worked
Systematic literature review collating advances across peptide excipients, self-assembling peptide systems, and peptide linkers for drug delivery. Covers sequence-based optimization strategies with examples from both marketed drugs and research-stage candidates.
Who was studied
Review article — no study population
What this study cannot tell us
As a broad review, it necessarily covers each topic at a survey level rather than providing deep mechanistic detail on any single technology. The review doesn't include original data. Specifics about clinical outcomes, safety profiles, or comparative efficacy of different delivery approaches are limited. The rapidly evolving nature of the field means some of the research-stage candidates discussed may have progressed or been abandoned since the review was compiled.
How to read the evidence
Not applicable — this is a comprehensive review article that synthesizes existing literature rather than reporting new experimental findings. Its value lies in organizing and contextualizing the field rather than providing new evidence.
When this study was published
Published in 2026, this is an up-to-date review covering the current state of peptide-based biomaterials including the latest developments in AI-assisted peptide design, making it a timely reference for the field.
The bigger picture
Peptide-based drug delivery is one of the fastest-growing areas in pharmaceutical science, driven by the explosion of biologics, gene therapies, and targeted cancer treatments that all need sophisticated delivery systems. The antibody-drug conjugate market alone is projected to exceed $30 billion by 2030, and peptide linkers are central to their design. Meanwhile, AI is beginning to transform how peptide sequences are optimized — a theme this review highlights as the next frontier. This comprehensive mapping of the field comes at a pivotal moment as many peptide delivery technologies transition from research to clinical application.
Questions still open
- Which peptide-based delivery technology is closest to solving the oral delivery problem for large biologic drugs?
- How much will AI-driven peptide design accelerate the development of optimized delivery peptides compared to traditional rational design?
- Can peptide-based delivery systems overcome the endosomal escape problem that limits most intracellular delivery strategies?
Common questions
What are cell-penetrating peptides and why are they important?
How do peptide linkers work in cancer-targeting drug conjugates?
Read the original research
Functional Peptide-Based Biomaterials for Pharmaceutical Application: Sequences, Mechanisms, and Optimization Strategies.
Journal of functional biomaterials, 17(1)
Citation
Yu, Dedong; Han, Nari; Son, Hyejeong; Kim, Sun Jo; Kweon, Seho. (2026). Functional Peptide-Based Biomaterials for Pharmaceutical Application: Sequences, Mechanisms, and Optimization Strategies.. Journal of functional biomaterials, 17(1). https://doi.org/10.3390/jfb17010037