Conformational Dynamics of Human AP Endonuclease in Base Excision and Nucleotide Incision Repair Pathways
Bibliographic record
Abstract
APE1 is a multifunctional enzyme that plays a central role in base excision repair (BER) of DNA. APE1 is also involved in the alternative nucleotide incision repair (NIR) pathway. We present an analysis of conformational dynamics and kinetic mechanisms of the full-length APE1 and truncated NDelta61-APE1 lacking the N-terminal 61 amino acids (REF1 domain) in BER and NIR pathways. The action of both enzyme forms were described by identical kinetic schemes, containing four stages corresponding to formation of the initial enzyme-substrate complex and isomerization of this complex; when a damaged substrate was present, these stages were followed by an irreversible catalytic stage resulting in the formation of the enzyme-product complex and the equilibrium stage of product release. For the first time we showed, that upon binding AP-containing DNA, the APE1 structure underwent conformational changes before the chemical cleavage step. Under BER conditions, the REF1 domain of APE1 influenced the stability of both the enzyme-substrate and enzyme-product complexes, as well as the isomerization rate, but did not affect the rates of initial complex formation or catalysis. Under NIR conditions, the REF1 domain affected both the rate of formation and the stability of the initial complex. In comparison with the full-length protein, NDelta61-APE1 did not display a decrease in NIR activity with a dihydrouracil-containing substrate. BER conditions decrease the rate of catalysis and strongly inhibit the rate of isomerization step for the NIR substrates. Under NIR conditions AP-endonuclease activity is still very efficient.
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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".