J-domain proteins: from molecular mechanisms to diseases
Bibliographic record
Abstract
J-domain proteins (JDPs) are known to drive the functional specificity of Hsp70 chaperone machines. Here we report on the latest findings presented at the third international JDP workshop held in 2025 in Gdansk, Poland. Investigators from many different disciplines, including structural biology, genetics, chemical biology, translational research, computational sciences, and biophysics, took part in the meeting. This article includes short summaries of the seminars presented by many of the speakers, which provided exciting new insights into the chaperone-dependent and chaperone-independent functions of JDPs, some of which go beyond Hsp70-dependent functions. We also provide a revised classification of members of the (human) JDP family that emerged from open discussion at the meeting. This workshop continues to serve as the premier venue for discussions of JDP evolution, structure, function, and roles in health, aging, and disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".