PP 8.13 – 00191 Investigating the Impact of CD4 mimetic BNM-III-170 on SHIV-infected Rhesus Macaques
Bibliographic record
Abstract
Replication kinetics were monitored by p24 every 3 days.Every 14 days, target cells were replenished and cultures were tested for genotypic and phenotypic measures of bNAb resistance.This was accomplished by single genome sequencing env genes from the supernatant and using the remaining supernatant to spinoculate new CD4+ cells.The remaining infected cells were replenished with media containing no bNAb for 24 hours of virus production.This viral supernatant was then tested by neutralization assay for bNAb resistance.Results: We observed both common escape mutations previously published, but also novel escape mutations.Partial resistance to VRC01 began at day 30 followed by complete resistance by day 45.At which point mutations were observed in the CD4 contact site as well as the fusion peptide in antibody-only wells.Complete resistance to 10-1074 developed by day 45 due to the N332 glycan mutation.A repeat independent experiment confirmed partial resistance developed to both antibodies by day 30.Figure.Antibody Resistance at Day 45.Conclusions: Future experiments will expand viruses to multiple subtypes and bNAbs.This reproducible in vitro bNAb escape assay will lead to a deeper understanding of viral escape, to better inform the design of highly effective bNAb cocktails targeting multiple conserved sites.
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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) | 0.022 | 0.004 |
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".