The Pyrophosphate Analogue Foscarnet Traps the Pre-translocational State of HIV-1 Reverse Transcriptase in a Brownian Ratchet Model of Polymerase Translocation
Bibliographic record
Abstract
The pyrophosphate (PPi) analogue phosphonoformic acid (PFA or foscarnet) inhibits the reverse transcriptase (RT) of the human immunodeficiency virus type 1 (HIV-1); however, the mechanisms of drug action and resistance remain elusive. Here we studied the effects of the translocational status of HIV-1 RT on drug binding and inhibition of DNA synthesis. We identified "hot spots" for inhibition during active elongation. Site-specific footprinting analyses revealed that the corresponding complexes exist predominantly in the pre-translocational state. The sensitivity to PFA is significantly reduced with sequences that show a bias toward the post-translocational state. Binding studies showed that PFA stabilizes selectively the complex in the pre-translocated configuration. These findings are consistent with a Brownian ratchet model of polymerase translocation. The enzyme can rapidly shuttle between pre- and post-translocated states. The bound inhibitor acts like a pawl of a ratchet and prevents the forward motion of HIV-1 RT, whereas the bound nucleotide binds to the post-translocated complex and prevents the reverse motion. The proposed mechanisms of RT translocation and drug action are consistent with the PFA-resistant phenotypes. We show that certain sequences and the PFA-resistant E89K mutant diminishes the stability of the pre-translocated complex. In these cases, the enzyme is seen at multiple positions around the 3' end of the primer, which provides a novel mechanism for resistance. These findings validate the pre-translocated complex as a target for the development of novel, perhaps less toxic and more potent inhibitors that block HIV-1 RT translocation.
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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".