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Record W4406642051 · doi:10.1016/j.xinn.2025.100809

Oxidant-free cross-dehydrogenative oxyalkylation enables late-stage functionalization of drugs

2025· article· en· W4406642051 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Innovation · 2025
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsMcGill University
FundersBeijing Municipal Natural Science FoundationPeking UniversityMinistry of Science and Technology of the People's Republic of ChinaNational Natural Science Foundation of ChinaChangping Laboratory
KeywordsSurface modificationStage (stratigraphy)ChemistryBiology

Abstract

fetched live from OpenAlex

Late-stage functionalization is an attractive strategy that allows chemists to bypass lengthy synthetic processes, facilitating the rapid generation of drug analogs with potentially enhanced pharmacokinetic and pharmacological properties. This study describes a novel approach for cross-dehydrogenative oxyalkylation, leveraging a unique γ-ray-enabled photoredox process to generate oxyalkyl radicals, followed by a Minisci-type addition in an aqueous solution. The metal- and oxidant-free aqueous conditions, coupled with excellent functional group compatibility, establish this method as a versatile protocol for the late-stage oxyalkylation of unprotected, structurally complex drug molecules. Notably, this method demonstrated improved pharmacokinetics in hydroxymethylated fibroblast activation protein inhibitor (FAPI) molecules, highlighting its potential to accelerate drug discovery efforts.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.312
Teacher spread0.289 · 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