From N-0385 to N-0920: Unveiling a Host-Directed Protease Inhibitor with Picomolar Antiviral Efficacy against Prevalent SARS-CoV-2 Variants
Bibliographic record
Abstract
The worldwide spread of new SARS-CoV-2 variants emphasizes the need to diversify existing therapeutic strategies. TMPRSS2, a host protease crucial for SARS-CoV-2 entry, has garnered significant research attention as a potential target for therapeutic intervention. Here, we optimized N-0385, a previously reported TMPRSS2 ketobenzothiazole-based peptidomimetic inhibitor, by screening 135 derivatives for target affinity and antiviral potency. Among the top candidates, N-0695 exhibited low nanomolar K i values against three TTSPs associated with respiratory virus entry: TMPRSS2, matriptase, and TMPRSS13. Notably, N-0920 demonstrated exceptional potency in reducing SARS-CoV-2 variants EG.5.1 and JN.1 entry in Calu-3 cells, representing the first in cellulo picomolar inhibitor with EC 50 values of 300 and 90 pM, respectively. Additionally, molecular modeling provided insights into the binding interactions between the compounds and their targets. This study underscores the effectiveness of our screening approach in refining an existing peptidomimetic scaffold to enhance selectivity and antiviral activity.
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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) | 0.001 | 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".