Journal
CHEMISTRY OF MATERIALS
Volume 30, Issue 23, Pages 8510-8520Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.chemmater.8b03206
Keywords
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Funding
- NSF DMREF (Designing Materials to Revolutionize and Engineer our Future) program [DMR-1234161, DMR-1235084]
- Penn Laboratory for Research on the Structure of Matter [NSF DMR-1720530]
- NSF [ACI-1053575, TG-CHE110041, CHE1213728, CHE1709518]
- National Institutes of Health [R01 EB006006]
- UD COBRE NIH-COBRE [1P30 GM110758]
- NIST, U.S. Department of Commerce [370NANB17H302]
- National Institute of Standards and Technology, U.S. Department of Commerce
- National Science Foundation [DMR-0944772]
- INBRE [P20 GM103446]
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Templating methods, combined with colloidal chemistry synthesis, provide a strategy to fabricate inorganic nanomaterials with controllable architectures. Computationally designed peptide assemblies allow fine control of templated nanomaterial architecture and morphology. Computationally designed peptide sequences, which can self-assemble into peptide nanotubes and peptide platelets, are modified with cysteine amino acids for the purpose of gold nanoparticle templating. The resulting gold nanoparticles exhibit clear one-dimensional and two-dimensional interparticle organizations due to the templating effect of the peptide assemblies. The self-assembly of the computationally designed peptides proceeds via controlled, kinetic pathways that allow manipulation of final peptide assembly nanostructure. As a result of the assembly process, the peptides in different assembled states can be used to control the organization of gold nanoparticles. This work demonstrates a new use of computationally designed peptide assemblies for inorganic nanomaterials construction.
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