Viral receptor blockage by multivalent recombinant antibody fusion proteins: inhibiting human rhinovirus (HRV) infection with CFY196
Bibliographic record
Abstract
Viral receptor blockage by monoclonal antibodies (mAbs) is a common strategy to inhibit viral infection; however, no drug candidate acting by this mechanism has reached the market so far. Analysis of the experimental and clinical data on a receptor-blocking mAb, mAb 1A6, against human rhinovirus (HRV) major receptor intercellular adhesion molecule 1 (ICAM-1) reveals that insufficient avidity of the mAb is probably the key factor to blame for its unsatisfactory clinical efficacy. In this article, we have summarized the recently published work from Perlan Therapeutics, Inc. and others that involves creation of multivalent Fab fusion proteins against the HRV major receptor ICAM-1. The multivalent Fab fusion proteins have exhibited much improved avidities over conventional mAbs, as well as superior HRV inhibition in vitro. This work has led to a promising drug candidate, CFY196, for prevention and treatment of HRV infections. Multivalent recombinant Fab fusion proteins may herald a new generation of potent antiviral receptor blockers and other therapeutic molecules.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".