Biochemical and structural aspects of the ATP‐binding domain in inflammasome‐forming human NLRP proteins
Bibliographic record
Abstract
Nucleotide-binding domain and leucine-rich repeat-containing receptors (NLRs) regulate innate immunity by activating inflammatory responses in a variety of biological systems following the recognition of pathogen- or disease-associated molecular patterns. NLRs are characterized by a central nucleotide-binding and oligomerization (NACHT) domain found in P-loop NTPases. In this review, we detail the functional and structural properties of the NACHT domain of a subfamily of NLRs, the NLRPs (NLR containing a pyrin domain), based on previous studies, sequence analysis, homology modeling, and structure predictions. Several NLRPs have been found to regulate inflammatory responses through the assembly of oligomeric caspase 1-activating platforms known as inflammasomes, the 3-dimensional structure of the NLRP NACHT domain has still not been solved. Homology modeling suggests that sequence variability within the NACHT domains of different NLRP family members may alter the topology of the ATP-binding pocket. Based on this finding, we discuss the potential therapeutic prospects aligned with the NACHT domain and the development of selective inhibitors of inflammasome 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".