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Record W1991895556 · doi:10.1016/s0014-5793(04)00133-4

The orientations of core antenna chlorophylls in photosystem II are optimized to maximize the quantum yield of photosynthesis

2004· article· en· W1991895556 on OpenAlexaff
S.S. Vasil'ev, Jian‐Ren Shen, Nobuo Kamiya, Doug Bruce

Bibliographic record

VenueFEBS Letters · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsBrock University
Fundersnot available
KeywordsPhotosystem IIAntenna (radio)PhotosynthesisPhotosynthetic reaction centreQuantum yieldOrientation (vector space)ChlorophyllPhotochemistryExcitationElectron transferChemistryPhysicsBiological systemFluorescenceBiologyOpticsBotanyTelecommunicationsComputer scienceMathematicsGeometry

Abstract

fetched live from OpenAlex

In photosystem II (PSII) the probability that energy absorbed by core antenna chlorophyll (Chl) is transferred to the reaction center (RC) is extremely high. Although close proximity between antenna Chl ensures a high transfer efficiency, relative pigment orientation can fractionally modify it. This level of refinement has often been assumed to be superfluous as so many subsequent processes limit the overall efficiency of photosynthesis. Nevertheless, did natural selection act on the most efficient step of energy conversion in PSII by optimizing the orientation of antenna Chl? Our Monte Carlo simulations sampled the orientation space of Chls in kinetic models for excitation energy transfer based on the X-ray structures of PSII from Thermosynechococcus vulcanus and Synechocystis elongatus. Our results revealed that the orientations of key antenna Chls are optimized to maximize photosynthesis while the orientations of the two peripheral RC Chls (Chl(Z)) are not.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.234
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2004
Admission routes1
Has abstractyes

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