Selection of peptides with semiconductor binding specificity for directed nanocrystal assembly

Sandra R. Whaley, D. S. English, Evelyn L. Hu, Paul F. Barbara and Angela M. Belcher ()
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Sandra R. Whaley: Department of Chemistry and Biochemistry
D. S. English: Department of Chemistry and Biochemistry
Evelyn L. Hu: Center for Quantized Electronic Structures, University of California
Paul F. Barbara: Department of Chemistry and Biochemistry
Angela M. Belcher: Department of Chemistry and Biochemistry

Nature, 2000, vol. 405, issue 6787, 665-668

Abstract: Abstract In biological systems, organic molecules exert a remarkable level of control over the nucleation and mineral phase of inorganic materials such as calcium carbonate and silica, and over the assembly of crystallites and other nanoscale building blocks into complex structures required for biological function1,2,3,4. This ability to direct the assembly of nanoscale components into controlled and sophisticated structures has motivated intense efforts to develop assembly methods that mimic or exploit the recognition capabilities and interactions found in biological systems5,6,7,8,9,10. Of particular value would be methods that could be applied to materials with interesting electronic or optical properties, but natural evolution has not selected for interactions between biomolecules and such materials. However, peptides with limited selectivity for binding to metal surfaces and metal oxide surfaces have been successfully selected10,11. Here we extend this approach and show that combinatorial phage-display libraries can be used to evolve peptides that bind to a range of semiconductor surfaces with high specificity, depending on the crystallographic orientation and composition of the structurally similar materials we have used. As electronic devices contain structurally related materials in close proximity, such peptides may find use for the controlled placement and assembly of a variety of practically important materials, thus broadening the scope for ‘bottom-up’ fabrication approaches.

Date: 2000
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DOI: 10.1038/35015043

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