Role of Herpes Simplex Virus VP11/12 Tyrosine-Based Motifs in Binding and Activation of the Src Family Kinase Lck and Recruitment of p85, Grb2, and Shc
Bibliographic record
Abstract
Previous studies have shown that the abundant herpes simplex virus 1 (HSV-1) tegument protein VP11/12, encoded by gene UL46, stimulates phosphatidylinositol 3-kinase (PI3-kinase)/Akt signaling: it binds the Src family kinase (SFK) Lck, is tyrosine phosphorylated, recruits the p85 subunit of PI3-kinase, and is essential for the activation of Akt during HSV-1 infection. The C-terminal region of VP11/12 contains tyrosine-based motifs predicted to bind the SH2 domains of SFKs (YETV and YEEI), p85 (YTHM), and Grb2 (YENV) and the phosphotyrosine-binding (PTB) domain of Shc (NPLY). We inactivated each of these motifs in the context of the intact viral genome and examined effects on binding and activation of Lck and recruitment of p85, Grb2, and Shc. Inactivating the p85, Grb2, or Shc motif reduced (p85) or eliminated (Grb2 and Shc) the interaction with the cognate signaling molecule without greatly affecting the other interactions or activation of Lck. Inactivating either SFK motif had only a minor effect on Lck binding and little or no effect on recruitment of p85, Grb2, or Shc. In contrast, inactivation of both SFK motifs severely reduced Lck binding and activation and tyrosine phosphorylation of VP11/12 and reduced (p85) or eliminated (Grb2 and Shc) binding of other signaling proteins. Overall, these data demonstrate the key redundant roles of the VP11/12 SFK-binding motifs in the recruitment and activation of SFKs and indicate that activated SFKs then lead (directly or indirectly) to phosphorylation of the additional motifs involved in recruiting p85, Grb2, and Shc. Thus, VP11/12 appears to mimic an activated growth factor receptor.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".