The SH3 domain- a family of versatile peptide- and protein-recognition module
Bibliographic record
Abstract
Src homology 3 (SH3) domains were initially characterized as a prevalent protein module that recognizes proline-rich sequences, in particular those containing a PxxP motif. Recent studies have shown that the specificity and cellular function of SH3 domains are far more diverse than previously appreciated. Despite lacking distinguishing features, the ligand-binding surface of an SH3 domain can be molded to accommodate a variety of peptide ligands. Moreover, certain SH3 domains are capable of using surfaces distinct from the canonical ligand-binding site to engage a peptide or protein. The identification of novel motifs and domains recognized by the SH3 domain greatly expands the ligand pool and cellular function for this family. However, this also imposes the question as to how the specificity of the hundreds of human SH3 domains is regulated in a cell to ensure their proper functions. Here we review literature on the specificity of SH3 domains, with an emphasis on the structural basis of ligand recognition, and discuss mechanisms employed by SH3 domain-containing proteins to execute defined cellular functions through highly regulated SH3-ligand interactions.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".