De Novo Design of Star-Shaped Glycoligands with Synthetic Polymer Structurestoward an Influenza Hemagglutinin Inhibitor
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- Nagao, Masanori
- Department of Chemical Engineering, Kyushu University
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- Yamaguchi, Ai
- Department of Biosciences and Informatics, Keio University
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- Matsubara, Teruhiko
- Department of Biosciences and Informatics, Keio University
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- Hoshino, Yu
- Department of Chemical Engineering, Kyushu University
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- Sato, Toshinori
- Department of Biosciences and Informatics, Keio University
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- Miura, Yoshiko
- Department of Chemical Engineering, Kyushu University
Bibliographic Information
- Other Title
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- <i>De Novo</i> Design of Star-Shaped Glycoligands with Synthetic Polymer Structures toward an Influenza Hemagglutinin Inhibitor
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Description
Synthetic polymers with well-defined structures allow the development of nanomaterials with additional functions beyond biopolymers. Herein, we demonstrate de novo design of star-shaped glycoligands to interact with hemagglutinin (HA) using well-defined synthetic polymers, with the aim of developing an effective inhibitor for the influenza virus. Prior to the synthesis, the length of the star polymer chains was predicted using the Gaussian model of synthetic polymers, and the degree of polymerization required to achieve multivalent binding to three carbohydrate recognition domains (CRDs) of HA was estimated. The star polymer with the predicted degree of polymerization was synthesized by reversible addition-fragmentation chain transfer (RAFT) polymerization, and 6’-sialyllactose was conjugated as the glycoepitope for HA. The designed glycoligand exhibited the strongest interaction with HA as a result of the multivalent binding. This finding demonstrated that the biological function of the synthetic polymer could be controlled by precisely defining the polymer structures.
Journal
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- Biomacromolecules
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Biomacromolecules 23 (3), 1232-1241, 2022-03-14
American Chemical Society
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Keywords
Details 詳細情報について
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- CRID
- 1050580007680237696
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- NII Book ID
- AA11435474
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- ISSN
- 15264602
- 15257797
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- HANDLE
- 2324/4793641
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- Crossref
- KAKEN
- OpenAIRE