Characterization of the Immersion Properties of the Peripheral Membrane Anchor of the FATC Domain of the Kinase “Target of Rapamycin” by NMR, Oriented CD Spectroscopy, and MD Simulations
Bibliographic record
Abstract
The multidomain ser/thr kinase "target of rapamycin" (TOR) centrally controls eukaryotic growth and metabolism. The C-terminal FATC domain is important for TOR regulation and was suggested to directly mediate TOR-membrane interactions. Here, we present a detailed characterization of the membrane immersion properties of the oxidized and reduced yeast TOR1 FATC domain (2438-2470 = y1fatc). The immersion depth was characterized by NMR-monitored interaction studies with DPC micelles containing paramagnetically tagged 5- or 16-doxyl stearic acid (5-/16-SASL) and by analyzing the paramagnetic relaxation enhancement (PRE) from Mn(2+) in the solvent. Complementary MD-simulations of micellar systems in the absence and presence of protein showed that 5-/16-SASL can move in the micelle and that 16-SASL can bend such that the doxyl group is close to the headgroup region and not deep in the interior as commonly assumed. Based on oriented CD (OCD) data, the single α-helix of oxidized/reduced y1fatc has an angle to the membrane normal of ∼30-60°/∼35-65° in neutral and ∼5-35°/∼0-30° in negatively charged bilayers. The presented experimentally well-founded models help to better understand how this redox-sensitive peripheral membrane anchor may be part of a network of protein-protein and protein-membrane interactions regulating TOR localization at different cellular membranes. Moreover, the presented work provides a good methodological reference for the structural characterization of other peripherally membrane associating proteins.
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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".