Evidence map›Paper›PMID 35896927›Full record

ArticlePhotosynthesis research2023

Predicting the oxidation states of Mn ions in the oxygen-evolving complex of photosystem II using supervised and unsupervised machine learning.

Muhamed Amin

Abstract read
In one paragraph

Article in Photosynthesis research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Electronic Structure of the SACS physical chemistry Au · 2025
    Article
  3. Review
  4. Electron transfer in biological systems.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2024
    Review
  5. Article
  6. Article
  7. Composition Based Oxidation State Prediction of Materials Using Deep Learning Language Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  8. Article
  9. Article
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

1 author.

Muhamed AminDepartment of Sciences, University College Groningen, University of Groningen, Hoendiepskade 23/24, 9718 BG, Groningen, The Netherlands. m.a.a.amin@rug.nl.ORCID http://orcid.org/0000-0002-3146-150X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serial Femtosecond Crystallography at the X-ray Free Electron Laser (XFEL) sources enabled the imaging of the catalytic intermediates of the oxygen evolution reaction of Photosystem II (PSII). However, due to the incoherent transition of the S-states, the resolved structures are a convolution from different catalytic states. Here, we train Decision Tree Classifier and K-means clustering models on Mn compounds obtained from the Cambridge Crystallographic Database to predict the S-state of the X-ray, XFEL, and CryoEM structures by predicting the Mn's oxidation states in the oxygen-evolving complex. The model agrees mostly with the XFEL structures in the dark S

Indexed as

Photosystem II Protein ComplexUnsupervised Machine LearningElectron Spin Resonance SpectroscopyIonsOxidation-ReductionOxygenWaterIonsOxygenPhotosystem II Protein ComplexWaterMachine learningOxygen-evolving complexSerial femtosecond crystallography

Identifiers

PMID35896927
PMCPMC10070209

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Registered trials

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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.