Preferred WMSA catalytic mechanism of the nucleotidyl transfer reaction in human DNA polymerase κ elucidates error-free bypass of a bulky DNA lesion
Bibliographic record
Abstract
Human DNA Pol κ is a polymerase enzyme, specialized for near error-free bypass of certain bulky chemical lesions to DNA that are derived from environmental carcinogens present in tobacco smoke, automobile exhaust and cooked food. By employing ab initio QM/MM-MD (Quantum Mechanics/Molecular Mechanics-Molecular Dynamics) simulations with umbrella sampling, we have determined the entire free energy profile of the nucleotidyl transfer reaction catalyzed by Pol κ and provided detailed mechanistic insights. Our results show that a variant of the Water Mediated and Substrate Assisted (WMSA) mechanism that we previously deduced for Dpo4 and T7 DNA polymerases is preferred for Pol κ as well, suggesting its broad applicability. The hydrogen on the 3'-OH primer terminus is transferred through crystal and solvent waters to the γ-phosphate of the dNTP, followed by the associative nucleotidyl transfer reaction; this is facilitated by a proton transfer from the γ-phosphate to the α,β-bridging oxygen as pyrophosphate leaves, to neutralize the evolving negative charge. MD simulations show that the near error-free incorporation of dCTP opposite the major benzo[a]pyrene-derived dG lesion is compatible with the WMSA mechanism, allowing for an essentially undisturbed pentacovalent phosphorane transition state, and explaining the bypass of this lesion with little mutation by Pol κ.
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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) | 0.001 | 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".