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Record W2339731424

Plaque Structure, Prevention and Possible Cure of Alzheimer’s Disease: An Exploratory First Principle Molecular Computational Study

2009· article· en· W2339731424 on OpenAlexaffvenue
Lewis W.Y. Lau, Sean S.H. Dawson, Vanna Z.Y. Ding, Natalie J. Galant, DongJin R. Lee, David H. Setiadi, Imre G. Csizmadia

Bibliographic record

VenueJournal of Undergraduate Life Sciences · 2009
Typearticle
Languageen
FieldChemistry
TopicFree Radicals and Antioxidants
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBeta sheetGlutathioneGaussianHydrogen bondChemistryBiophysicsProtein structureComputational chemistryMoleculeBiochemistryBiologyEnzymeOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

A model of ABeta-sheet in Alzheimer’s disease (AD) and fragments of glutathione (GSH) as a possible AD related antioxidant were studied. Conformational optimizations were performed using a three strand trialanine Beta-pleated sheet as a model of the ABeta-sheet. Two fragments of GSH: Gamma-glutamylmethylamide and N-acetyl-cysteine glycine (N-ACG) were optimized to find their conformational spaces. Calculations were performed using the restricted Hartree-Fock (RHF) formalism with a 3-21 contracted Gaussian (3-21G) basis set (RHF/3-21G level of theory). All conformational studies were carried out from first principles of quantum mechanical computations using the Gaussian 98 (G98) program. On the basis of computed fragment geometries, the initial conformation of the neutral antioxidant glutathione (GSH) was predicted for the future studies. From the study of hydrogen bonding structure of amyloid modeled by three strand trialanine Beta-pleated sheet, a hypothetic peptido-memetic drug was suggested to break ABeta-sheet structure of amyloid in the brain of AD patients.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.392

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 communication0.0000.001
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 head0.030
GPT teacher head0.311
Teacher spread0.281 · 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 designObservational
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

Citations0
Published2009
Admission routes2
Has abstractyes

Explore more

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