Redox proteomics and structural analyses provide insightful implications for additional non-catalytic thiol-disulfide motifs in PDIs
Bibliographic record
Abstract
Protein disulfide isomerases (PDIs) catalyze redox reactions that reduce, oxidize, or isomerize disulfide bonds and act as chaperones of proteins as they fold. The characteristic features of PDIs are the presence of one or more catalytic thioredoxin (TRX)-like domains harboring typical CXXC catalytic motifs responsible for redox reactions, as well as non-catalytic TRX-like domain. As increasing attention is paid to oxidative post-translational modifications of cysteines (Cys ox-PTMs) with the recognition that they control cellular signaling, strategies to identify sites of Cys ox-PTM by redox proteomics have been optimized. Exploration of an available Cys redoxome dataset supported by modeled structure provided arguments for the existence of an additional non-catalytic thiol-disulfide motif, distinct from those contained in the TRX type patterns, typical of PDIAs. Further structural analysis of PDIA3 and 6 allows us to consider the possibility that this hypothesis could be extended to other members of PDI. These elements invite future studies to decipher the exact role of these non-catalytic thiol-disulfide motifs in the functions of PDIs. Strategies that would allow to validate this hypothesis are discussed.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.000 |
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".