Mutational Analysis of Tyr-501 of HIV-1 Reverse Transcriptase
Bibliographic record
Abstract
N-(4-tert-Butylbenzoyl)-2-hydroxynaphthaldehyde hydrazone (BBNH) is a potent inhibitor of the ribonuclease H (RNase H) activity of human immunodeficiency virus (HIV)-1 reverse transcriptase (RT). Molecular modeling predicted that BBNH binds to the HIV-1 RT RNase H active site via two major interactions, coordination to the metal ion cofactor (Mg(2+) or Mn(2+)) in the enzyme active site and aromatic ring-stacking interaction between the naphthyl ring of BBNH and amino acid Tyr-501. The latter residue equivalent is conserved in virtually all RNases H, suggesting the need for an aromatic or pi-stacking interaction in this region. To assess the importance of Tyr-501 in the binding of BBNH for the inhibition of RT RNase H activity, we used site-specific mutagenesis to generate RT with a variety of substitutions at this position. Most substitutions resulted virtually in a complete loss of RNase H activity. However, three mutants, Y501F, Y501W, and Y501R, possessed RNase H activities comparable with wild-type enzyme. Whereas BBNH inhibited Y501F RT RNase H activity with potency equivalent to wild-type RT, the Y501W mutant showed a 6-fold resistance to inhibition by BBNH, and the Y501R mutant was completely resistant to inhibition by BBNH. The replication "fitness" of HIV molecular clones with the Y501W or Y510R mutation was significantly compromised compared with wild-type virus. Importantly, BBNH was an effective inhibitor of the DNA polymerase activity of all Y501X mutants tested. Our results highlight the importance of Tyr-501 in RT RNase H activity and in N-acylhydrazone inhibitor binding and suggest that drugs that target critical residues in HIV-1 proteins may be a useful approach in new antiviral development.
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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 | 0.001 |
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".