Biochemical Mechanism of HIV-1 Resistance to Rilpivirine
Bibliographic record
Abstract
Rilpivirine (RPV) is a second generation nonnucleoside reverse transcriptase (RT) inhibitor (NNRTI) that efficiently inhibits HIV-1 resistant to first generation NNRTIs. Virological failure during therapy with RPV and emtricitabine is associated with the appearance of E138K and M184I mutations in RT. Here we investigate the biochemical mechanism of RT inhibition and resistance to RPV. We used two transient kinetics approaches (quench-flow and stopped-flow) to determine how subunit-specific mutations in RT p66 or p51 affect association and dissociation of RPV to RT as well as their impact on binding of dNTP and DNA and the catalytic incorporation of nucleotide. We compared WT with four subunit-specific RT mutants, p66(M184I)/p51(WT), p66(E138K)/p51(E138K), p66(E138K/M184I)/p51(E138K), and p66(M184I)/p51(E138K). Ile-184 in p66 (p66(184I)) decreased the catalytic efficiency of RT (k(pol)/K(d)(.dNTP)), primarily through a decrease in dNTP binding (K(d)(.dNTP)). Lys-138 either in both subunits or in p51 alone abrogated the negative effect of p66(184I) by restoring dNTP binding. Furthermore, p51(138K) reduced RPV susceptibility by altering the ratio of RPV dissociation to RPV association, resulting in a net reduction in RPV equilibrium binding affinity (K(d)(.RPV) = k(off.RPV)/k(on.RPV)). Quantum mechanics/molecular mechanics hybrid molecular modeling revealed that p51(E138K) affects access to the RPV binding site by disrupting the salt bridge between p51(E138) and p66(K101). p66(184I) caused repositioning of the Tyr-183 active site residue and decreased the efficiency of RT, whereas the addition of p51(138K) restored Tyr-183 to a WT-like conformation, thus abrogating the Ile-184-induced functional defects.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".