Drug Resistance Profiles of Recombinant Reverse Transcriptases from Human Immunodeficiency Virus Type 1 Subtypes A/E, B, and C
Bibliographic record
Abstract
We have expressed purified recombinant reverse transcriptase (RT) from clinical isolates of human immunodeficiency virus subtypes B, C, and A/E in Escherichia coli. The drug sensitivities of these RTs were then determined for both nucleoside RT inhibitors (NRTIs) and nonnucleoside RT inhibitors (NNRTIs) in cell-free RT assays. Although A/E and C viruses contained numerous polymorphisms relative to subtype B (i.e., naturally occurring variations unrelated to drug resistance), the wild-type enzymes prepared from these or subtype A/E clinical isolates displayed <2-fold differences in drug sensitivities with regard to the active triphosphate active forms of NRTIs, as compared with RT expressed from BH-10 recombinant virus. Recombinant RTs from clinical isolates of subtypes B, C, and A/E that contained multiple resistance-associated mutations displayed expected variations in levels of resistance to the intracellular active forms of 3TC, ddI, ddC, and PMPA, that is, 3TCTP, ddATP, ddCTP, and PMPApp, respectively. Subtype A/E and C RT enzymes contained only minor NNRTI polymorphisms that distinguished them from wild-type subtype B enzymes and wild-type RTs from these various subtypes showed only 1- to 4-fold variability in IC(50) values for each of nevirapine (NVP), delavirdine (DLV), efavirenz (EFV), and calanolide A. In contrast, RT enzymes from subtype B and C viruses harboring specific NNRTI mutations were highly resistant to all four tested NNRTIs. Subtype C variants containing the novel V106M resistance codon showed cross-resistance to all approved NNRTIs in cell-free RT assays.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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".