Novel Inhibitors of Protein Arginine Deiminase with Potential Activity in Multiple Sclerosis Animal Model
Bibliographic record
Abstract
In multiple sclerosis (MS), myelin basic protein (MBP), critical for the maintenance of myelin compaction and protecting against degradation, is known to contain concentrations of the noncoded amino acid, "citrulline", in abnormal proportions. Peptidyl arginine deiminase (PAD) catalyzes the post-translational citrullination of proteins via the deimination of Arg residues. In the central nervous system, specifically PAD2 and PAD4, are the enzymes responsible for the citrullination. We used in silico screening of commercial libraries to find small molecules that would reversibly inhibit PAD4. An initial set of 10 diverse compounds was selected from the screen, and from these compounds, 3, 4, 6, and 8 showed promising inhibitory activities against PAD4 with Ki in the range of 115-153 μM. Compound 4 was selected to partake in an in vivo MOG EAE mouse model study to evaluate its effect in MS-like conditions. Results from the 24 day pilot mouse study showed an improved clinical outcome for mice being administered compound 4 compared to the control group. In brain, 4 treated mice showed a clear reduction in the CD3 +ve T cells. These results suggest that compound 4 may have potential utility and confirmed that noncovalent inhibitors of PAD enzymes can be developed as potential agents targeting MS pathology.
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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".