Carregant...
Miniatura

Tipus de document

Article

Versió

Versió acceptada

Data de publicació

Tots els drets reservats

Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/204945

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

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

In 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.

Matèries (anglès)

Citació

Citació

CURTI, Mariano, MAFFEIS, Valentin, TEIXEIRA ALVES DUARTE, Luís gustavo, SHAREEF, Saeed, HALLADO, Luisa xiomara, CURUTCHET BARAT, Carles e., ROMERO, Elisabet. Engineering excitonically coupled dimers in an artificial protein for light harvesting via computational modeling. _Protein Science_. 2023. Vol. 32, núm. 3, pàgs. e4579. [consulta: 24 de gener de 2026]. ISSN: 0961-8368. [Disponible a: https://hdl.handle.net/2445/204945]

Exportar metadades

JSON - METS

Compartir registre