Identification and biophysical assessment of the molecular recognition mechanisms between the human haemopoietic cell kinase Src homology domain 3 and ALG-2-interacting protein X
Bibliographic record
Abstract
SFKs (Src family kinases) are central regulators of many signalling pathways. Their functions are tightly regulated through SH (Src homology) domain-mediated protein-protein interactions. A yeast two-hybrid screen using SH3 domains as bait identified Alix [ALG-2 (apoptosis-linked gene 2)-interacting protein X] as a novel Hck (haemopoietic cell kinase) SH3 domain interactor. The Alix-Hck-SH3 interaction was confirmed in vitro by a GST (glutathione transferase) pull-down assay and in intact cells by a mammalian two-hybrid assay. Furthermore, the interaction was demonstrated to be biologically relevant in cells. Through biophysical experiments, we then identified the PRR (proline-rich region) motif of Alix that binds Hck-SH3 and determined a dissociation constant of 34.5 μM. Heteronuclear NMR spectroscopy experiments were used to map the Hck-SH3 residues that interact with an ALIX construct containing the V and PRR domains or with the minimum identified interacting motif. Finally, SAXS (small-angle X-ray scattering) analysis showed that the N-terminal PRR of Alix is unfolded, at least before Hck-SH3 recognition. These results indicate that residues outside the canonical PxxP motif of Alix enhance its affinity and selectivity towards Hck-SH3. The structural framework of the Hck-Alix interaction will help to clarify how Hck and Alix assist during virus budding and cell-surface receptor regulation.
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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) | 0.000 | 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 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".