Mutations M184V and Y115F in HIV-1 Reverse Transcriptase Discriminate against “Nucleotide-competing Reverse Transcriptase Inhibitors”
Bibliographic record
Abstract
Indolopyridones are potent inhibitors of reverse transcriptase (RT) of the human immunodeficiency virus type 1 (HIV-1). Although the structure of these compounds differs from established nucleoside analogue RT inhibitors (NRTIs), previous studies suggest that the prototype compound INDOPY-1 may bind in close proximity to the polymerase active site. NRTI-associated mutations that are clustered around the active site confer decreased, e.g. M184V and Y115F, or increased, e.g. K65R, susceptibility to INDOPY-1. Here we have studied the underlying biochemical mechanism. RT enzymes containing the isolated mutations M184V and Y115F cause 2-3-fold increases in IC(50) values, while the combination of the two mutations causes a >15-fold increase. K65R can partially counteract these effects. Binding studies revealed that the M184V change reduces the affinity to INDOPY-1, while Y115F facilitates binding of the natural nucleotide substrate and the combined effects enhance the ability of the enzyme to discriminate against the inhibitor. Studies with other strategic mutations at residues Phe-61 and Ala-62, as well as the use of chemically modified templates shed further light on the putative binding site of the inhibitor and ternary complex formation. An abasic site residue at position n, i.e. opposite the 3'-end of the primer, prevents binding of INDOPY-1, while an abasic site at the adjacent position n+1 has no effect. Collectively, our findings provide strong evidence to suggest that INDOPY-1 can compete with natural deoxynucleoside triphosphates (dNTPs). We therefore propose to refer to members of this class of compounds as "nucleotide-competing RT inhibitors" (NcRTIs).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".