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2019-02-15

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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/141800

Electronic energy transfer in biomacromolecules

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Recurs relacionat

https://doi.org/10.1002/wcms.1392

Resum

Electronic energy transfer is widely used as a molecular ruler to interrogate the structure of biomacromolecules, and performs a key task in photosynthesis by transferring collected energy through specialized pigment-protein complexes. Förster theory, introduced over 70 years ago, allows linking transfer rates to simple structural and spectroscopic properties of the energy‐transferring molecules. In biosystems, however, significant deviations from Förster behavior often arise due to breakdown of the ideal dipole approximation, dielectric screening effects due to the biological environment, or departure from the weak‐coupling regime. In this review, we provide a concise overview of advances in simulations of energy transfer in biomacromolecules that allow overcoming the main limitations of Förster theory. We first discuss advances in quantum chemical methods to compute electronic couplings, their extension to multiscale formulations to include screening effects, and strategies to treat the interplay between coupling fluctuations and energy transfer dynamics. We then examine the spectral overlap term, and how this quantity can be estimated from simulations of the spectral density of exciton-phonon coupling. Finally, we discuss rate theories that can describe energy transfers in situations where strong coupling leads to delocalized excitions, a common situation found in closely packed multichromophoric systems such as photosynthetic complexes and nucleic acids.

Matèries

Transferència d'energia, Química quàntica, Química física

Matèries (anglès)

Energy transfer, Quantum chemistry, Physical and theoretical chemistry

Citació

Col·leccions

Articles publicats en revistes (Farmàcia, Tecnologia Farmacèutica i Fisicoquímica)

Citació

CUPELLINI, Lorenzo, et al. Electronic energy transfer in biomacromolecules. WIREs Computational Molecular Science. 2019. Vol. 9, num. 2, pags. e1392. ISSN 1759-0876. [consulted: 3 of August of 2026]. Available at: https://hdl.handle.net/2445/141800

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