Table · dataset · 2026
Data for Photosynthetic pigment-protein complexes as highly-connected networks : implications for robust energy transport
Listed in figshare
Photosynthetic pigment-protein complexes (PPCs) are a vital component of the light-harvesting machinery of all plants and photosynthesising bacteria, enabling efficient transport of the energy of absorbed light towards the reaction centre, where chemical energy storage is initiated.
Description
PPCs comprise a set of chromophore molecules, typically bacteriochlorophyll species, held in a well-defined arrangement by a protein scaffold; this relatively rigid distribution leads to a viewpoint in which the chromophore subsystem is treated as a network, where chromophores represent vertices and inter-chromophore electronic couplings represent edges.
This graph-based view can then be used as a framework within which to interrogate the role of structural and electronic organization in PPCs. Here, we use this network-based viewpoint to compare EET dynamics in the light-harvesting complex II (LHC-II) system commonly found in higher plants and the Fenna-Matthews-Olson (FMO) complex found in green sulfur bacteria. The results of our simple network-based investigations clearly demonstrate the role of network connectivity and multiple EET pathways on the efficient and robust EET dynamics in these PPCs, and highlight a role for such considerations in the development of new artificial light-harvesting systems.<br><br>Simulation results from Figures 4-9 in submitted article.
Links
Where it is published
- DOI doi.org/10.82444/warw.33734407.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Physics · Social Science
- Inferred from text
- Physical chemistry 71% · Simulation 75%
Provenance · 1 source records, 19 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/33734407 | 12 d ago | JSON v1 |
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| concepts[method].local:method:simulation | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
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| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |