Abstract
The design and assembly of peptide‐based materials has advanced considerably, leading to a variety of fibrous, sheet, and nanoparticle structures. A remaining challenge is to account for and control different possible supramolecular outcomes accessible to the same or similar peptide building blocks. Here a de novo peptide system is presented that forms nanoparticles or sheets depending on the strategic placement of a “disulfide pin” between two elements of secondary structure that drive self‐assembly. Specifically, homodimerizing and homotrimerizing de novo coiled‐coil α‐helices are joined with a flexible linker to generate a series of linear peptides. The helices are pinned back‐to‐back, constraining them as hairpins by a disulfide bond placed either proximal or distal to the linker. Computational modeling indicates, and advanced microscopy shows, that the proximally pinned hairpins self‐assemble into nanoparticles, whereas the distally pinned constructs form sheets. These peptides can be made synthetically or recombinantly to allow both chemical modifications and the introduction of whole protein cargoes as required.
Original language | English |
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Article number | 2100472 |
Number of pages | 11 |
Journal | Small |
Volume | 17 |
Issue number | 10 |
Early online date | 15 Feb 2021 |
DOIs | |
Publication status | Published - 11 Mar 2021 |
Bibliographical note
Funding Information:This research was supported by funding from a SLoLa (Strategic Longer and Larger) grant from the BBSRC “Development of supramolecular assemblies for enhancing cellular productivity and the synthesis of chemicals and biotherapeutics,” (BB/M002969/1). Dan Mulvihill and Martin Warren, who are based at the University of Kent, and Richard Pickersgill based at Queen Mary's University of London, contributed to discussion and development of this work as part of this consortium. The authors also thank Evelyne Deery and Maria Stanley for supplying the pET3a and TBAD plasmids, (University of Kent) and Richard Sessions for support with the computational modeling (University of Bristol). The authors thank the EPSRC for awarding HECBiosym and an Archer Leadership Award for providing computer time on the U.K. Supercomputer Archer. The authors thank the BBSRC/EPSRC funded Synthetic Biology Research Centre (BrisSynBio, BB/L01386X/1) for providing funding for researchers and Bluegem. The authors thank the EPSRC for funding the Chemical Imaging Facility (PF‐AFM, EP/K035746/1), the mass spectrometry equipment (EP/K03927X/1), and the Wolfson Bioimaging Facility (fluorescence and electron microscopy, BB/L014181/1) at the University of Bristol.
Funding Information:
This research was supported by funding from a SLoLa (Strategic Longer and Larger) grant from the BBSRC ?Development of supramolecular assemblies for enhancing cellular productivity and the synthesis of chemicals and biotherapeutics,? (BB/M002969/1). Dan Mulvihill and Martin Warren, who are based at the University of Kent, and Richard Pickersgill based at Queen Mary's University of London, contributed to discussion and development of this work as part of this consortium. The authors also thank Evelyne Deery and Maria Stanley for supplying the pET3a and TBAD plasmids, (University of Kent) and Richard Sessions for support with the computational modeling (University of Bristol). The authors thank the EPSRC for awarding HECBiosym and an Archer Leadership Award for providing computer time on the U.K. Supercomputer Archer. The authors thank the BBSRC/EPSRC funded Synthetic Biology Research Centre (BrisSynBio, BB/L01386X/1) for providing funding for researchers and Bluegem. The authors thank the EPSRC for funding the Chemical Imaging Facility (PF-AFM, EP/K035746/1), the mass spectrometry equipment (EP/K03927X/1), and the Wolfson Bioimaging Facility (fluorescence and electron microscopy, BB/L014181/1) at the University of Bristol.
Publisher Copyright:
© 2021 The Authors. Small published by Wiley-VCH GmbH
Research Groups and Themes
- BrisSynBio
- Bristol BioDesign Institute
Keywords
- coiled coil
- computational modeling
- peptide design
- protein design
- self-assembly
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