Broad Tricyclic Ring Inhibitors Block SARS-CoV-2 Spike Function Required for Viral Entry
Bibliographic record
Abstract
The entry of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into host cells requires binding of the viral spike glycoprotein to the angiotensin-converting enzyme 2 (ACE2) receptor, which triggers subsequent conformational changes to facilitate viral and cellular fusion at the plasma membrane or following endocytosis. Here, we experimentally identified selective and broad inhibitors of SARS-CoV-2 entry that share a tricyclic ring (or similar) structure. The inhibitory effect was restricted to early steps during infection and the entry inhibitors interacted with the receptor binding domain of the SARS-CoV-2 spike but did not significantly interfere with receptor (ACE2) binding. Instead, some of these compounds induced conformational changes or affected spike assembly and blocked SARS-CoV-2 spike cell-cell fusion activity. The broad inhibitors define a highly conserved binding pocket that is present on the spikes of SARS-CoV-1, SARS-CoV-2, and all circulating SARS-CoV-2 variants tested and block SARS-CoV spike activity required for mediating viral entry. These compounds provide new insights into the SARS-CoV-2 spike topography, as well as into critical steps on the entry pathway, and can serve as lead candidates for the development of broad-range entry inhibitors against SARS-CoVs.
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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".