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Controlling protein assembly on inorganic crystals through designed protein interfaces

The ability of proteins and other macromolecules to interact with inorganic surfaces is critical to biological function. The proteins involved in these interactions are highly charged and often rich in carboxylic acid side chains(1-5), but the structures of most protein-inorganic interfaces are unkn...

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Detalles Bibliográficos
Autores principales: Pyles, Harley, Zhang, Shuai, De Yoreo, James J., Baker, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948101/
https://www.ncbi.nlm.nih.gov/pubmed/31292559
http://dx.doi.org/10.1038/s41586-019-1361-6
Descripción
Sumario:The ability of proteins and other macromolecules to interact with inorganic surfaces is critical to biological function. The proteins involved in these interactions are highly charged and often rich in carboxylic acid side chains(1-5), but the structures of most protein-inorganic interfaces are unknown. We explored the possibility of systematically designing structured protein-mineral interfaces guided by the example of ice-binding proteins, which present arrays of threonine residues matched to the ice lattice that order clathrate waters into an ice-like structure(6). We designed proteins displaying arrays of up to 54 carboxylate residues geometrically matched to the K(+) sublattice on muscovite mica (001). At low [K(+)] individual molecules bind independently to mica in the designed orientations, while at high [K(+)], the designs form 2D liquid-crystal phases, which accentuate the inherent structural bias in the muscovite lattice to produce protein arrays ordered over tens of millimeters. Incorporation of designed protein-protein interactions preserving the match between the proteins and the K(+) lattice led to extended self-assembled structures on mica: designed end-to-end interactions produced micron long single protein-diameter wires, and a designed trimeric interface yielded extensive honeycomb arrays. The nearest neighbor distances in these hexagonal arrays could be set digitally between 7.5 and 15.9 nm with 2.1 nm selectivity by changing the number of repeat units in the monomer. These results demonstrate that protein-inorganic lattice interactions can be systematically programmed and set the stage for designing protein-inorganic hybrid materials.