Quantum Coulombic Interactions Mediate Free Radical Control in Radical SAM Viperin/RSAD2
Bibliographic record
Abstract
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 Viperin/RSAD2, one of the few radical SAM enzymes expressed in humans. Using molecular dynamics and high-level multi-state broken-symmetry quantum mechanical/molecular mechanics calculations, we elucidated the mechanistic details of the catalysis, identifying a key step characterized by the formation of an unprecedented 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 pKa units lower than that of closed-shell ribose. Given the omnipresence of negative 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".