Characterization of the interactions between SIVrcm Vpx and red-capped mangabey SAMHD1
Bibliographic record
Abstract
SAMHD1 (SAM domain- and HD domain-containing protein 1) inhibits HIV-1 infection of myeloid cells and resting CD4+ T-cells. Two lineages of primate lentiviruses, the sooty mangabey SIV (simian immunodeficiency virus) (SIVsm)/macaque SIV (SIVmac)/HIV-2 lineage and the red-capped mangabey SIV (SIVrcm) lineage, carry a SAMHD1 antagonist called Vpx. Vpx recognizes SAMHD1 and recruits a ubiquitin E3 ligase complex that is composed of CUL4 (Cullin4), DDB1 (damaged DNA-binding protein 1) and a member of the DCAF (DDB1/CUL4-associated factor) family called DCAF1. This E3 ligase complex polyubiquitinates SAMHD1, which leads to proteasomal degradation of SAMHD1. As opposed to the well-characterized interaction of SIVmac Vpx with human SAMHD1 and DCAF1, SIVrcm Vpx adopts a different mode of interaction with SAMHD1 of red-capped mangabeys. In the present study, we have characterized the interactions that are essential for SIVrcm Vpx-mediated degradation of rcmSAMHD1 (red-capped mangabey SAMHD1). Using mutagenesis and molecular modelling, we have determined the key role of the W23LHR26 peptide of SIVrcm Vpx in recognizing rcmSAMHD1. The amino acids Phe15, Leu36, Phe52, Arg55 and Arg56 at the N-terminal domain (NtD) of rcmSAMHD1 are involved in interaction with Vpxrcm (red-capped mangabey Vpx). The molecular model of rcmSAMHD1-NtD, Vpxrcm and C-terminal domain (CtD) of DCAF1 (DCAF1-CtD) complex reveals further that rcmSAMHD1-NtD and Vpxrcm utilize an interaction interface that is different from that used by human SAMHD1-CtD and Vpxsm. These findings provide further insights into the different modes of interaction between Vpx and SAMHD1 as the result of the 'arms race' of virus and host cell.
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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".