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Engineering excitonically coupled dimers in an artificial protein for light harvesting via computational modeling

AbstractIn photosynthesis, pigment–protein complexes achieve outstanding photoinduced charge separation efficiencies through a set of strategies in which excited states delocalization over multiple pigments (“excitons”) and charge‐transfer states play key roles. These concepts, and their implementation in bioinspired artificial systems, are attracting increasing attention due to the vast potential that could be tapped by realizing efficient photochemical reactions. In particular, de novo designed proteins provide a diverse structural toolbox that can be used to manipulate the geometric and electronic properties of bound chromophore molecules. However, achieving excitonic and charge‐transfer states requires closely spaced chromophores, a non‐trivial aspect since a strong binding with the protein matrix needs to be maintained. Here, we show how a general‐purpose artificial protein can be optimized via molecular dynamics simulations to improve its binding capacity of a chlorophyll derivative, achieving complexes in which chromophores form two closely spaced and strongly interacting dimers. Based on spectroscopy results and computational modeling, we demonstrate each dimer is excitonically coupled, and propose they display signatures of charge‐transfer state mixing. This work could open new avenues for the rational design of chromophore–protein complexes with advanced functionalities.
Chlorophyll, Full‐length Papers, Light-Harvesting Protein Complexes, Proteins, Pigments (Biology), Molecular Dynamics Simulation, Pigments (Biologia), Photosynthesis, Proteïnes
Chlorophyll, Full‐length Papers, Light-Harvesting Protein Complexes, Proteins, Pigments (Biology), Molecular Dynamics Simulation, Pigments (Biologia), Photosynthesis, Proteïnes
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average visibility views 45 download downloads 53 - 45views53downloads
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