Role of Molecular Interactions in Supramolecular Polypeptide-Polyphenol Networks for Engineering Functional Materials

Y Han; RPM Lafleur; J Zhou; W Xu; Z Lin; JJ Richardson; F Caruso

Journal article

Role of Molecular Interactions in Supramolecular Polypeptide-Polyphenol Networks for Engineering Functional Materials

Y Han, RPM Lafleur, J Zhou, W Xu, Z Lin, JJ Richardson, F Caruso

Journal of the American Chemical Society | Published : 2022

DOI: 10.1021/jacs.2c05052

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Abstract

Supramolecular assembly affords the development of a wide range of polypeptide-based biomaterials for drug delivery and nanomedicine. However, there remains a need to develop a platform for the rapid synthesis and study of diverse polypeptide-based materials without the need for employing complex chemistries. Herein, we develop a versatile strategy for creating polypeptide-based materials using polyphenols that display multiple synergistic cross-linking interactions with different polypeptide side groups. We evaluated the diverse interactions operating within these polypeptide-polyphenol networks via binding affinity, thermodynamics, and molecular docking studies and found that positively ch..

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University of Melbourne Researchers

Zhixing Lin Author

Frank Caruso Author

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Grants

Awarded by Australian Research Council

Funding Acknowledgements

This research was funded by the Australian Research Council (ARC) through the Discovery Project (DP200100713) scheme. F.C. acknowledges the award of a National Health and Medical Research Council Senior Principal Research Fellowship (GNT1135806) . R.P.M.L. acknowledges the Netherlands Organization for Scientific Research for a Rubicon postdoctoral fellowship (project 019.182EN.034) . This work was performed in part at the Materials Characterization and Fabrication Platform and the Bio21 Melbourne Protein Characterization Platform at The University of Melbourne and the Victorian Node of the Australian National Fabrication Facility. We thank Dr. Chan-Jin Kim and Dr. Sukhvir Kaur Bhangu for helpful discussions, Yi Li for assistance with MOE simulation, and Dr. Jiaying Song and Dr. Yijiao Qu for assistance with experiments.