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Record W4408865356 · doi:10.1021/jacs.5c00572

Quantum Coulombic Interactions Mediate Free Radical Control in Radical SAM Viperin/RSAD2

2025· article· en· W4408865356 on OpenAlexafffund
M. Hossein Khalilian, Gino A. DiLabio

Bibliographic record

VenueJournal of the American Chemical Society · 2025
Typearticle
Languageen
FieldChemistry
TopicMetal-Catalyzed Oxygenation Mechanisms
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British Columbia
KeywordsChemistryRadicalRadical substitutionPhotochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

There are thousands of radical S -adenosylmethionine (rSAM) enzymes capable of catalyzing over 80 distinct reactions, yet their use in biotechnological applications is limited, primarily due to a lack of understanding of how these enzymes control highly reactive radical intermediates. Here, we show that little-known quantum Coulombic interactions are, in part, responsible for free radical control in rSAM enzyme Viperin/RSAD2, one of the few radical SAM enzymes expressed in humans. Using molecular dynamics and high-level extensive multistate broken-symmetry quantum mechanical/molecular mechanics calculations (QM/MM), we elucidated both the mechanism and radical control in catalysis, identifying a key step characterized by the formation of an unusual metastable deprotonated ribose radical intermediate. This intermediate is thermodynamically stabilized by spin-charge exchange–correlation interactions─a quantum Coulombic effect. The magnitude of this stabilization is such that the radical displays acidity two to six p K a units lower than that of closed-shell ribose. Given the omnipresence of charges in biological systems, these interactions potentially represent a universal mechanism for stabilizing and controlling highly reactive radical intermediates across radical enzymes, opening new avenues for enzymatic engineering and biotechnological applications.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.055
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the American Chemical SocietySame topicMetal-Catalyzed Oxygenation MechanismsFrench-language works237,207