A HIV-1 Minimal Gag Protein Is Superior to Nucleocapsid at in Vitro <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif"><mml:mrow><mml:msubsup><mml:mrow><mml:mtext>tRNA</mml:mtext></mml:mrow><mml:mn>3</mml:mn><mml:mrow><mml:mtext>Lys</mml:mtext></mml:mrow></mml:msubsup></mml:mrow></mml:math> Annealing and Exhibits Multimerization-induced Inhibition of Reverse Transcription
Bibliographic record
Abstract
HIV-1 uses tRNA3Lys to prime reverse transcription of its viral RNA. In this process, the 3'-end of tRNA3Lys must be annealed to the primer binding site of HIV-1 genomic RNA, and the two molecules together form a complex structure. During annealing, the nucleocapsid (NC) protein enhances the unwinding of tertiary structures within both RNA molecules. Moreover, the packaging of tRNA3Lys occurs prior to viral budding at a time when NC is still part of the Pr55Gag polyprotein. In contrast, Pr55Gag is able to produce virus-like particles on its own. We have recently shown that an N-terminal extended form of NC (mGag), containing all of the minimal elements required for virus-like particle formation, possesses greater affinity for HIV-1 genomic RNA than does NC alone. We have now studied the tRNA3Lys-annealing properties of mGag in comparison to those of NC and report that the former is more efficient in this regard than the latter. We have also tested each of a mutant version of mGag, an extended form of mGag, and an almost full-length form of Gag, and showed that all of these possessed greater tRNA-annealing capacity than did the viral NC protein. Yet, surprisingly, multimerization of Gag-related proteins did not abrogate this annealing process but rather resulted in dramatically reduced levels of reverse transcriptase processivity. These results suggest that the initial stages of reverse transcription may be regulated by the multimerization of Pr55Gag polyprotein at times prior to the cleavage of NC.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".