Large library docking and biophysical analysis of small molecule TMPRSS2 inhibitors
Bibliographic record
Abstract
Transmembrane protease, serine -2 (TMPRSS2) is an essential host entry factor in human airways for SARS-CoV-2 and influenza A/B and has presented as a target for antiviral drug development; however, no clinically viable, oral small molecule TMPRSS2 inhibitors have been developed to date. Here we perform two large-scale docking campaigns to identify covalent and noncovalent TMPRSS2 small molecule inhibitors from a homology model and crystal structure. We establish a pipeline to rapidly screen TMPRSS2 inhibitors, then interrogate the potency, specificity and biophysical properties of covalent and noncovalent inhibition using enzyme kinetics on synthetic peptide and protein substrates and differential scanning fluorimetry. Furthermore, we established a readily crystallizable form of TMPRSS2 protein that produced high resolution crystal structures with nafamostat, ‘157, and 6-amidino-2-naphthol. A novel noncovalent inhibitor scaffold is biochemically and biophysically validated as a potential avenue to develop TMPRSS2-selective inhibitors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".