ArticleScientific reports2016
Nonlinear network model analysis of vibrational energy transfer and localisation in the Fenna-Matthews-Olson complex.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Supramolecular Catalysis ofThe journal of physical chemistry. C, Nanomaterials and interfaces · 2020Article
- Coarse-Grained Protein Dynamics Studies Using Elastic Network Models.International journal of molecular sciences · 2018Review
- Photosynthetic pigment-protein complexes as highly connected networks: implications for robust energy transport.Proceedings. Mathematical, physical, and engineering sciences · 2017Review
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Authors and funding
3 authors.
Funding
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Abstract
Collective protein modes are expected to be important for facilitating energy transfer in the Fenna-Matthews-Olson (FMO) complex of photosynthetic green sulphur bacteria, however to date little work has focussed on the microscopic details of these vibrations. The nonlinear network model (NNM) provides a computationally inexpensive approach to studying vibrational modes at the microscopic level in large protein structures, whilst incorporating anharmonicity in the inter-residue interactions which can influence protein dynamics. We apply the NNM to the entire trimeric FMO complex and find evidence for the existence of nonlinear discrete breather modes. These modes tend to transfer energy to the highly connected core pigments, potentially opening up alternative excitation energy transfer routes through their influence on pigment properties. Incorporating localised modes based on these discrete breathers in the optical spectra calculations for FMO using ab initio site energies and excitonic couplings can substantially improve their agreement with experimental results.
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