ArticleACS applied materials & interfaces2023
Artificial Intelligence (AI)-Aided Structure Optimization for Enhanced Gene Delivery: The Effect of the Polymer Component Distribution (PCD).
Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Article
- Electricity-Based Locoregional Cancer Therapies and Their Associated Drug Delivery Technologies: From Principles of Action to Clinical Implications.Biomaterials research · 2026Review
- Bridging miRNA Research with Clinical Applications in Cardiovascular Diseases: Advances in Delivery Systems and Therapeutic Strategies.Mini reviews in medicinal chemistry · 2026Review
- Molecular Dynamics Simulations Elucidate the Molecular Organization of Poly(beta-amino ester) Based Polyplexes for siRNA Delivery.Nano letters · 2024Article
- Mapping Biomaterial Complexity by Machine Learning.Tissue engineering. Part A · 2024Review
- Beyond Lipids: Exploring Advances in Polymeric Gene Delivery in the Lipid Nanoparticles Era.Advanced materials (Deerfield Beach, Fla.) · 2024Review
- Design of Experiments Grants Mechanistic Insights into the Synthesis of Spermine-Containing PBAE Copolymers.ACS applied materials & interfaces · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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Abstract
Gene therapy has emerged as a significant advancement in medicine in recent years. However, the development of effective gene delivery vectors, particularly polymer vectors, remains a significant challenge. Limited understanding of the internal structure of polymer vectors has hindered efforts to enhance their efficiency. This work focuses on investigating the impact of polymer structure on gene delivery, using the well-known polymeric vector poly(β-amino ester) (PAE) as a case study. For the first time, we revealed the distinct characteristics of individual polymer components and their synergistic effects-the appropriate combination of different components within a polymer (high MW and low MW components) on gene delivery. Additionally, artificial intelligence (AI) analysis was employed to decipher the relationship between the polymer component distribution (PCD) and gene transfection performance. Guided by this analysis, a series of highly efficient polymer vectors that outperform current commercial reagents such as jetPEI and Lipo3000 were developed, among which the transfection efficiency of the PAE-B1-based polyplex was approximately 1.5 times that of Lipo3000 and 2 times that of jetPEI in U251 cells.
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Registered trials
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 OpenQuestion graph.