Identification of interacting proteins to the K15 protein of Kaposi's sarcoma-associated herpesvirus
Bibliographic record
Abstract
Kaposi's sarcoma-associated herpesvirus, also known as human herpervirus 8, is closely associated with several cancers including Kaposi's sarcoma, primary effusion lymphoma and multicentric Castleman's disease. The rightmost end of the KSHV genome encodes a protein, K15, with multiple membrane-spanning segments and an intracellular carboxy-terminal tail that contains several conserved motifs with the potential to recruit interaction domains (i.e. SH2, SH3, TRAF) of host cell proteins. K15 has been implicated in downregulating B cell receptor (BCR) signaling through its conserved motifs, and may thereby play a role in maintaining viral latency and/or preventing apoptosis of the infected B cells. However, K15's mode of action is largely unknown. We have used mass spectrometry, domain and peptide arrays, and surface plasmon resonance, to identify binding partners to the conserved proline-rich sequence (PPLP) in the K15 cytoplasmic tail. We show that the PPLP motif selectively binds the third SH3 domain of an endocytic adaptor protein, Intersectin 2 (ITSN2). This interaction can be observed both in vitro and in cells, where K15 and ITSN2 co-localize to discrete compartments within the B cell. The ability of K15 to associate with ITSN2 suggests a new role for the K15 viral protein in intracellular protein trafficking.
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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) | 0.001 | 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".