Computational Design of Highly Fluorescent Rhodopsins
$336,540R15FY2018GMNIH
Bowling Green State University, Bowling Green OH
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Paper 35291019Paper 35241801Paper 34647400Paper 34645937Paper 31909998Paper 31545053Paper 31040285Paper 30916955Paper 30753077Paper 30721054Paper 30532962Paper 30336038Paper 29791163
Abstract
In principle, highly ?uorescent rhodopsins could be employed as voltage sensors in neuroscience imaging. However, rhodopsin mutants featuring a ?uorescence ef?ciency close to the one of the green ?uorescence protein have not been discovered yet. Most importantly, we lack the molecular-level understanding required to predict if and how a speci?c set of mutations can amplify the weak ?uorescence of the rhodopsin chromophore. We propose to exploit state-of-the-art quantum chemical methods to systematically investigate these issues and to reengineer a microbial rhodopsin into a highly sensitive, genetically encodable, optogenetic tool for action potential visualization. -1-
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