Analysis of the DNA Substrate Structure and Number of the Processing Sites on the Activities of HIV-1 Integrase In Vitro
Bibliographic record
Abstract
A series of DNA substrates were synthesized to analyze the 3'-processing, integration and disintegration reactions taking place concurrently on the same DNA molecules and to evaluate the potential effects of various structural modifications of these molecules on the activities of HIV-1 integrase (IN). Our results indicate that DNA substrates containing multiple recognition sites for IN can produce efficiently the three activities of the enzyme. The 3'-processing and disintegration sites are recognized and processed by IN, both reactions being carried out in a competitive manner by the enzyme on the same DNA molecule. The presence of the gaps and unpaired nucleotides in the region surrounding the disintegration site had major deleterious effects on enzymes disintegration activity. Analysis of a different conformation at the base of the DNA hairpin has revealed a significant improvement of IN disintegration activity in the presence of double-stranded DNA on the 3' side of the disintegration site, suggesting that this region plays an important role in the stability of the enzyme-substrate complex. Interestingly, the efficiency of disintegration was strongly diminished in the presence of an unpaired nucleotide located immediately at the 3' end of the cleavage site. Overall, our results underline the extreme sensitivity of the HIV-1 IN to its substrates structure and conformation, especially for its disintegration activity, and the considerable importance of the disintegration activity in the reactions carried out in vitro by the purified 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 | 0.001 |
| 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".