Critical Role of Helix 4 of HIV-1 Capsid C-terminal Domain in Interactions with Human Lysyl-tRNA Synthetase
Bibliographic record
Abstract
Human tRNALys3 is used as the primer for human immunodeficiency virus type 1 (HIV-1) reverse transcription. HIV-1 Gag and GagPol, as well as host cell factor lysyl-tRNA synthetase (LysRS), are required for specific packaging of tRNALys into virions. Gag alone is sufficient for packaging of LysRS, and these two proteins have been shown to interact in vitro with an equilibrium binding constant of approximately 310 nM. The capsid (CA) domain of Gag binds to LysRS with a similar affinity as full-length Gag. In this work, we report further characterization of the interaction between HIV-1 CA and human LysRS using truncation constructs and point mutations in the putative interaction helices. Fluorescence anisotropy binding measurements reveal that a LysRS variant lacking the N-terminal 219 residues still displays high affinity binding to CA. The CA C-terminal domain (CTD) is also sufficient for binding to LysRS. Nuclear magnetic resonance spectroscopy studies using 15N-labeled CA-CTD reveal chemical shift perturbations of residues in and proximal to helix 4 of CA-CTD upon LysRS binding. A synthetic peptide that includes helix 4 binds to LysRS with high affinity, whereas peptides derived from the other three helical domains of CA-CTD do not. Alanine-scanning mutagenesis studies targeting residues in the helix 4 region support a direct interaction between this domain of CA-CTD and LysRS. The high resolution mapping studies reported here will facilitate future work aimed at disrupting the Gag-LysRS interaction, which represents a novel anti-viral strategy.
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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".