How proteins trigger excitation energy transfer in the FMO complex of green sulfur bacteria.

By Julian Adolphs, Thomas Renger. Biophysical Journal, 2006

657 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f48d0636c3da225d3b3fec17c5c0ba6e3a921891

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In Atomic and Molecular Physics, and Optics

In Cellular and Molecular Neuroscience

In Molecular Biology

Citations in the corpus

Limits of quantum speedup in photosynthetic light harvesting (2009, methodology): “Our results here are robust to variations in the strength of the trap, and to whether the initial excitation is at site 1 or 6, the sites believed to be the primary source for excitations in FMO [27].”
Modelling of oscillations in two-dimensional echo-spectra of the Fenna–Matthews–Olson complex (2011, methodology): “For the FMO complex a variety of spectral densities are discussed in the literature, where some are a parametrisation of experimental fluorescence spectra [33], while others are extracted from molecular dynamics simulations [34].”
Vibrations, quanta and biology (2013, background): “Both features are not well modeled by the traditional perturbative treatments that lead to master equations of Lindblad [139, 140], Redfield [141] or modified Redfield type [46, 142, 143] (see [60] for a review of master equations).”
Delocalized excitons in natural light-harvesting complexes (2018, methodology): “There have been various efforts to address these issues through all-atomistic simulations (Olbrich et al., 2011a; Shim et al., 2012) and direct calculation of Huang-Rhys factors (Adolphs and Renger, 2006).”
Theoretical Limits of Photovoltaics Efficiency and Possible Improvements by Intuitive Approaches Learned from Photosynthesis and Quantum Coherence (2014, methodology): “Using the FMO complex, which acts as a quantum wire, with a seven site Hamiltonian with the parameters calculated by Adolphs and Renger [204], Whaley et.”
Machine learning exciton dynamics (2015, positive): “Studying the exciton dynamics of large photosynthetic complexes, such as the Fenna-Matthews-Olson (FMO) and light-harvesting II (LHII) complexes, has been a topic of much theoretical and experimental interest in recent years [1–14].”