Spectroscopic Studies of DNA and ATP Binding to Human Polynucleotide Kinase: Evidence for a Ternary Complex
Bibliographic record
Abstract
Human polynucleotide kinase (hPNK), which possesses both 5'-DNA kinase and 3'-DNA phosphatase activities, is a DNA repair enzyme required for processing and rejoining of single- and double-strand-break termini. Full-length hPNK was subjected to sedimentation and spectroscopic analyses in association with its ligands, a 20-mer oligonucleotide, ATP, and AMP-PNP (a nonhydrolyzable analogue of ATP). Sedimentation equilibrium measurements indicated that hPNK was a monomer in the presence and absence of the ligands. Circular dichroism measurements revealed that the ligands induced different conformational changes in hPNK, although AMP-PNP induced the same conformational changes as ATP. CD also indicated that the oligonucleotide could bind to the protein-AMP-PNP complex. Protein-ligand binding affinities and stoichiometries were determined by measuring changes in protein intrinsic fluorescence. Titrating hPNK with the oligonucleotide indicated tight binding with a K(d) value of 1.3 microM and with 1:1 stoichiometry. A 5'-phosphorylated oligonucleotide with the same sequence exhibited an almost 6-fold lower affinity (K(d) value, 7.2 microM). ATP and AMP-PNP bound with high affinity (K(d) values, respectively, of 1.4 and 1.6 microM), and the observed binding stoichiometries were 1:1. Furthermore, the nonphosphorylated oligonucleotide was able to bind to hPNK in the presence of AMP-PNP with a K(d) value of 2.5 microM, confirming the formation of a ternary complex. This study provides the first direct physical evidence for such a ternary complex involving a polynucleotide kinase, AMP-PNP, and an oligonucleotide, and supports a reaction mechanism in which ATP and DNA bind simultaneously to the enzyme.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".