Evidence map›Paper›PMID 21344591›Full record

ReviewChemphyschem : a European journal of chemical physics and physical chemistry2011

Förster energy transfer theory as reflected in the structures of photosynthetic light-harvesting systems.

Melih Şener, Johan Strümpfer, Jen Hsin, Danielle Chandler, Simon Scheuring, C Neil Hunter, Klaus Schulten

Abstract readReview
In one paragraph

Review in Chemphyschem : a European journal of chemical physics and physical chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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  10. Structural insights into the assembly and energy transfer of haptophyte photosystem I-light-harvesting supercomplex.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Melih ŞenerBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Johan Strümpfer
Jen Hsin
Danielle Chandler
Simon Scheuring
C Neil Hunter
Klaus Schulten

Funding

WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
Biotechnology and Biological Sciences Research Council BB/G021546/1NCRR NIH HHS P41 RR005969NCRR NIH HHS P41-RR05969
6 · The paper itself

Abstract

Förster’s theory of resonant energy transfer underlies a fundamental process in nature, namely the harvesting of sunlight by photosynthetic life forms. The theoretical framework developed by Förster and others describes how electronic excitation migrates in the photosynthetic apparatus of plants, algae, and bacteria from light absorbing pigments to reaction centers where light energy is utilized for the eventual conversion into chemical energy. The demand for highest possible efficiency of light harvesting appears to have shaped the evolution of photosynthetic species from bacteria to plants which, despite a great variation in architecture, display common structural themes founded on the quantum physics of energy transfer as described first by Förster. Herein, Förster’s theory of excitation transfer is summarized, including recent extensions, and the relevance of the theory to photosynthetic systems as evolved in purple bacteria, cyanobacteria, and plants is demonstrated. Förster’s energy transfer formula, as used widely today in many fields of science, is also derived.

Indexed as

CyanobacteriaFluorescence Resonance Energy TransferLight-Harvesting Protein ComplexesModels, MolecularModels, TheoreticalPlantsLight-Harvesting Protein Complexes

Identifiers

PMID21344591
PMCPMC3098534

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.