Combinatorial Discovery of RAFT Cationic Polymers for mRNA Delivery: Structure–Function Insights from High-Throughput Screening and Machine Learning

Cationic polymers are considered promising delivery systems for mRNA, offering potential advantages over lipid nanoparticles. Here a library of tertiary amine-containing, methacrylate-based cationic polymers with diverse molecular characteristics and properties were prepared by combinatorial RAFT polymerization for mRNA delivery. The ability of the synthesized cationic polymers to complex with mRNA was thoroughly investigated. The biological responses, including cellular uptake, cytotoxicity, and mRNA transfection efficiency, of the formed mRNA-polymer polyplexes were systemically investigated. Through high-throughput screening assays, we identified several lead polymers that showed superior effectiveness in delivering mRNA, with performance significantly outperforming other synthesized cationic polymers as well as polyethylenimine (PEI) and Lipofectamine, two benchmark gene delivery materials. To unravel the complex structure-function relationships between the chemical and physical properties of cationic polymers/mRNA polyplexes and their biological responses, machine learning analyses were conducted. These in silico studies identified several key attributes that are predictive of cellular uptake, cytotoxicity, and mRNA transfection efficiency, providing valuable insights for the future design of more potent cationic polymers for mRNA delivery.

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Publication Details

Journal
Biomacromolecules
Published
2025-10-07
DOI
https://doi.org/10.1021/acs.biomac.5c01236
Citations
1
Primary Topic
Synthesis of Tetrazole Derivatives
Type
article
Field-Weighted Citation Impact
0.94
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article

Combinatorial Discovery of RAFT Cationic Polymers for mRNA Delivery: Structure–Function Insights from High-Throughput Screening and Machine Learning

Andrew K. Whittaker, Alex G. C. de Sá, Changkui Fu, Jiulong Li et al.
1 citations
Biomacromolecules
Synthesis of Tetrazole Derivatives
0.94
article

Combinatorial Discovery of RAFT Cationic Polymers for mRNA Delivery: Structure–Function Insights from High-Throughput Screening and Machine Learning

Andrew K. Whittaker, Alex G. C. de Sá, Changkui Fu, Jiulong Li, Helen Forgham, Ruirui Qiao, Siqi Yu, Patrick S. Stayton, David B. Ascher, Wenting Yang, Shuang Li, Huan Meng, Tian Liang, Tanmayee Sai Sivani Ita
article en
1 citations

Abstract

Cationic polymers are considered promising delivery systems for mRNA, offering potential advantages over lipid nanoparticles. Here a library of tertiary amine-containing, methacrylate-based cationic polymers with diverse molecular characteristics and properties were prepared by combinatorial RAFT polymerization for mRNA delivery. The ability of the synthesized cationic polymers to complex with mRNA was thoroughly investigated. The biological responses, including cellular uptake, cytotoxicity, and mRNA transfection efficiency, of the formed mRNA-polymer polyplexes were systemically investigated. Through high-throughput screening assays, we identified several lead polymers that showed superior effectiveness in delivering mRNA, with performance significantly outperforming other synthesized cationic polymers as well as polyethylenimine (PEI) and Lipofectamine, two benchmark gene delivery materials. To unravel the complex structure-function relationships between the chemical and physical properties of cationic polymers/mRNA polyplexes and their biological responses, machine learning analyses were conducted. These in silico studies identified several key attributes that are predictive of cellular uptake, cytotoxicity, and mRNA transfection efficiency, providing valuable insights for the future design of more potent cationic polymers for mRNA delivery.

BiomacromoleculesVol. 26(11)
Australian Research Council (AU), Baker Heart and Diabetes Institute (AU), The University of Queensland (AU), The University of Melbourne (AU), University of Washington (US), Center for NanoScience (DE), Ecogenomics (Japan) (JP), Translational Research Informatics Center (Japan) (JP), Institute of Bioengineering and Nanotechnology (SG), Baker Engineering (United States) (US), National Center for Nanoscience and Technology (CN)
Openalex Percentile: Top 21%
Synthesis of Tetrazole Derivatives
0.94
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