The effect of mutations in the HIV-1 nucleocapsid protein on strand transfer in cell-free reverse transcription reactions
Bibliographic record
Abstract
Interactions between the nucleocapsid protein (NC) and reverse transcriptase of HIV-1 have been shown to promote the initiation of reverse transcription. We assayed the effect of NC on later events, using a strand transfer system with donor and acceptor HIV RNA templates and found that the presence of NC resulted in increased synthesis of full-length strand-transferred (FLST) DNA. This effect also occurred with mutated forms of NC that lacked both zinc fingers, or that contained a point mutation (histidine-->cysteine) at amino acid 23. In contrast, NC-derived proteins containing only the proximal or distal zinc fingers, or lacking the N- and C-termini, were all unable to catalyze the synthesis of FLST DNA. Band-shift assays using both the mutated and wild-type forms of these proteins revealed that all the NC proteins promoted strand association between (-) strong-stop DNA [(-)ssDNA] and acceptor RNA. The zinc finger motifs were dispensable for full-length processive reverse transcription, and the N- and C-termini were required; however, all NC domains were dispensable for association of (-)ssDNA and acceptor RNA. This suggests that annealing is a less stringent reaction than DNA polymerization.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".