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Directed evolution of bacteriorhodopsin for applications in bioelectronics
Author(s) -
Nicole L. Wagner,
Jordan A. Greco,
Matthew J. Ranaghan,
Robert R. Birge
Publication year - 2013
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 139
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2013.0197
Subject(s) - bacteriorhodopsin , bioelectronics , nanotechnology , molecular machine , halobacterium salinarum , directed evolution , directed molecular evolution , selection (genetic algorithm) , computer science , biochemical engineering , materials science , chemistry , artificial intelligence , engineering , biosensor , mutant , biochemistry , membrane , gene
In nature, biological systems gradually evolve through complex, algorithmic processes involving mutation and differential selection. Evolution has optimized biological macromolecules for a variety of functions to provide a comparative advantage. However, nature does not optimize molecules for use in human-made devices, as it would gain no survival advantage in such cooperation. Recent advancements in genetic engineering, most notably directed evolution, have allowed for the stepwise manipulation of the properties of living organisms, promoting the expansion of protein-based devices in nanotechnology. In this review, we highlight the use of directed evolution to optimize photoactive proteins, with an emphasis on bacteriorhodopsin (BR), for device applications. BR, a highly stable light-activated proton pump, has shown great promise in three-dimensional optical memories, real-time holographic processors and artificial retinas.

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