{"title":"裁剪聚合物结构以驱动蛋白质-聚合物杂交的分子筛分","authors":"Kriti Kapil , Hironobu Murata , Lucca Trachsel , Krzysztof Matyjaszewski","doi":"10.1016/j.scp.2025.101988","DOIUrl":null,"url":null,"abstract":"<div><div>Protein-polymer hybrids (PPHs) exemplify a transformative intersection of biotechnology and materials science, offering innovative solutions to complex biomedical and engineering challenges. These hybrids synergistically combine the functional specificity of proteins with the structural adaptability of synthetic polymers, resulting in materials with enhanced stability, bioactivity, and responsiveness to environmental stimuli. Advances in reversible deactivation radical polymerization techniques, including atom transfer radical polymerization and reversible addition-fragmentation chain transfer polymerization, have enabled precise control over polymer architecture, molecular weight, and functionality. This precision has facilitated the creation of sophisticated polymer architectures such as block copolymers and complex polymer architectures, tailored for applications including molecular sieving and selective separation. Molecular sieving in PPHs, governed by polymer morphology and protein interactions, holds potential for applications ranging from size-selective separations and enzymatic pathway activation to next-generation therapeutic delivery systems. However, critical challenges remain, including preserving protein activity during synthesis, achieving biocompatibility under physiological conditions, and ensuring long-term stability against proteolytic degradation and pH fluctuations.</div><div>This review discusses recent advancements in PPHs design, emphasizing synthetic methodologies, advanced characterization techniques, and predictive modeling approaches for achieving varying polymer topologies. It highlights the pivotal role of computational tools, including molecular dynamics simulations and machine learning algorithms, in guiding the design and optimization of these hybrids. Future research should prioritize interdisciplinary approaches to expand protein-polymer interaction datasets, refine predictive models, and enable high-throughput synthesis. Addressing these challenges will accelerate the development of next-generation PPHs for transformative applications in drug delivery, biocatalysis, and molecular separation technologies.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"45 ","pages":"Article 101988"},"PeriodicalIF":5.5000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tailoring polymer architectures to drive molecular sieving in protein-polymer hybrids\",\"authors\":\"Kriti Kapil , Hironobu Murata , Lucca Trachsel , Krzysztof Matyjaszewski\",\"doi\":\"10.1016/j.scp.2025.101988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Protein-polymer hybrids (PPHs) exemplify a transformative intersection of biotechnology and materials science, offering innovative solutions to complex biomedical and engineering challenges. These hybrids synergistically combine the functional specificity of proteins with the structural adaptability of synthetic polymers, resulting in materials with enhanced stability, bioactivity, and responsiveness to environmental stimuli. Advances in reversible deactivation radical polymerization techniques, including atom transfer radical polymerization and reversible addition-fragmentation chain transfer polymerization, have enabled precise control over polymer architecture, molecular weight, and functionality. This precision has facilitated the creation of sophisticated polymer architectures such as block copolymers and complex polymer architectures, tailored for applications including molecular sieving and selective separation. Molecular sieving in PPHs, governed by polymer morphology and protein interactions, holds potential for applications ranging from size-selective separations and enzymatic pathway activation to next-generation therapeutic delivery systems. However, critical challenges remain, including preserving protein activity during synthesis, achieving biocompatibility under physiological conditions, and ensuring long-term stability against proteolytic degradation and pH fluctuations.</div><div>This review discusses recent advancements in PPHs design, emphasizing synthetic methodologies, advanced characterization techniques, and predictive modeling approaches for achieving varying polymer topologies. It highlights the pivotal role of computational tools, including molecular dynamics simulations and machine learning algorithms, in guiding the design and optimization of these hybrids. Future research should prioritize interdisciplinary approaches to expand protein-polymer interaction datasets, refine predictive models, and enable high-throughput synthesis. Addressing these challenges will accelerate the development of next-generation PPHs for transformative applications in drug delivery, biocatalysis, and molecular separation technologies.</div></div>\",\"PeriodicalId\":22138,\"journal\":{\"name\":\"Sustainable Chemistry and Pharmacy\",\"volume\":\"45 \",\"pages\":\"Article 101988\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Chemistry and Pharmacy\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352554125000865\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Chemistry and Pharmacy","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352554125000865","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Tailoring polymer architectures to drive molecular sieving in protein-polymer hybrids
Protein-polymer hybrids (PPHs) exemplify a transformative intersection of biotechnology and materials science, offering innovative solutions to complex biomedical and engineering challenges. These hybrids synergistically combine the functional specificity of proteins with the structural adaptability of synthetic polymers, resulting in materials with enhanced stability, bioactivity, and responsiveness to environmental stimuli. Advances in reversible deactivation radical polymerization techniques, including atom transfer radical polymerization and reversible addition-fragmentation chain transfer polymerization, have enabled precise control over polymer architecture, molecular weight, and functionality. This precision has facilitated the creation of sophisticated polymer architectures such as block copolymers and complex polymer architectures, tailored for applications including molecular sieving and selective separation. Molecular sieving in PPHs, governed by polymer morphology and protein interactions, holds potential for applications ranging from size-selective separations and enzymatic pathway activation to next-generation therapeutic delivery systems. However, critical challenges remain, including preserving protein activity during synthesis, achieving biocompatibility under physiological conditions, and ensuring long-term stability against proteolytic degradation and pH fluctuations.
This review discusses recent advancements in PPHs design, emphasizing synthetic methodologies, advanced characterization techniques, and predictive modeling approaches for achieving varying polymer topologies. It highlights the pivotal role of computational tools, including molecular dynamics simulations and machine learning algorithms, in guiding the design and optimization of these hybrids. Future research should prioritize interdisciplinary approaches to expand protein-polymer interaction datasets, refine predictive models, and enable high-throughput synthesis. Addressing these challenges will accelerate the development of next-generation PPHs for transformative applications in drug delivery, biocatalysis, and molecular separation technologies.
期刊介绍:
Sustainable Chemistry and Pharmacy publishes research that is related to chemistry, pharmacy and sustainability science in a forward oriented manner. It provides a unique forum for the publication of innovative research on the intersection and overlap of chemistry and pharmacy on the one hand and sustainability on the other hand. This includes contributions related to increasing sustainability of chemistry and pharmaceutical science and industries itself as well as their products in relation to the contribution of these to sustainability itself. As an interdisciplinary and transdisciplinary journal it addresses all sustainability related issues along the life cycle of chemical and pharmaceutical products form resource related topics until the end of life of products. This includes not only natural science based approaches and issues but also from humanities, social science and economics as far as they are dealing with sustainability related to chemistry and pharmacy. Sustainable Chemistry and Pharmacy aims at bridging between disciplines as well as developing and developed countries.