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Novel Phenoselenazines as Amyloid-β Aggregation Inhibitors

2025· article· en· W4408535224 on OpenAlexafffund
Ahmed A. Hefny, Kartar Singh, Rahul C. Karuturi, Arash Shakeri, Michael A. Beazely, Praveen P. N. Rao

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2025
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsUniversity of Waterloo
FundersOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaMinistry of Higher EducationGovernment of OntarioEgyptian Cultural and Educational BureauCanada Foundation for InnovationOntario Research Foundation
KeywordsAmyloid (mycology)ChemistryComputer scienceComputational biologyBiology

Abstract

fetched live from OpenAlex

A novel library of N -benzylphenoselenazine derivatives 8a – j were designed, synthesized, and evaluated as inhibitors of amyloid-beta (Aβ42) aggregation. In the thioflavin T-based fluorescence aggregation kinetics assay, compounds 8i and 8j exhibited excellent inhibition of Aβ42 aggregation (∼91% inhibition at 25 μM), and the activity was comparable to that of reference agents resveratrol (∼88%) and methylene blue (∼95% inhibition). Both compounds also demonstrated Aβ42 disaggregation properties (58% and 76% respectively at 25 μM) and antioxidant activity (80.5% and 59% respectively at 25 μM). In the cell culture studies, both 8i and 8j were able to reduce Aβ42-mediated cytotoxicity. Computational studies suggest that these compounds interact in a narrow channel formed by the N- and C-termini in the Aβ42 pentamer model to stabilize the assembly and prevent further aggregation. These results demonstrate the viability of the N -benzylphenoselenazines as promising candidates to target the amyloid cascade in Alzheimer’s disease.

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 categoriesMeta-epidemiology (narrow)
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 score0.066
Threshold uncertainty score1.000

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)0.0010.000

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 head0.008
GPT teacher head0.253
Teacher spread0.244 · 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.

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

Citations5
Published2025
Admission routes2
Has abstractyes

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