A gp41 HR2 residue modulates the susceptibility of HIV-1 envelope glycoproteins to small molecule inhibitors targeting gp120
Bibliographic record
Abstract
One characteristic of the HIV-1 CRF01_AE strain is that it contains a bulkier histidine residue at position 375 (H375) in its envelope glycoproteins (Env). This residue is part of the Phe43 cavity, where residue 43 of CD4 engages with gp120. It has been shown that H375 contributes to resistance against small molecule inhibitors targeting gp120. Residue 375 co-evolved with a few residues of the gp120 inner domain layers, and together they modulate the susceptibility of Env to small molecule gp120 inhibitors. Since residue 629 within the HR2 region of gp41 has also been proposed to have co-evolved with residue 375, we explored its role in the susceptibility of HIV-1 Env to two classes of small molecule gp120 inhibitors: the conformational blocker temsavir and the CD4-mimetic (CD4mc) BNM-III-170. Reversion of CRF01_AE isoleucine to a major clade methionine at position 629 had a significant but opposite impact on the susceptibility of the virus to temsavir and BNM-III-170. Mechanistically, this is associated with the capacity of residue 629 to modulate Env stability, as attested by its impact on cold inactivation. Overall, our results show how a single residue of HR2 contributes to the overall Env trimer stability and its susceptibility to gp120-targeted small molecule inhibitors.IMPORTANCECRF01_AE envelope glycoproteins (Env) have a well-conserved histidine at position 375. This residue is key in modulating the susceptibility of HIV-1 to small molecule Env inhibitors. Here, we report that a residue of the gp41 HR2 region affects Env trimer stability and its susceptibility to gp120-directed small molecule inhibitors. This work adds to our understanding of HIV-1 Env resistance to small molecule inhibitors.
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 | 0.000 | 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) | 0.002 | 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".