Mapping Polypeptide Self-Recognition through <sup>1</sup>H Off-Resonance Relaxation
Bibliographic record
Abstract
1H NMR relaxation rates provide a readily available and sensitive probe ideally suited to investigate the weak (KD approximately micromolar to millimolar range) interactions that frequently mediate polypeptide oligomerization in the early steps of amyloid fibrillogenesis. However, the measurement of transverse and longitudinal 1H relaxation rates is experimentally challenging due to J-transfer and selectivity problems in CPMG and inversion-recovery experiments, respectively. We show here that these problems are effectively circumvented by measuring nonselective off-resonance relaxation rates using an effective field tilted by 35.5 degrees . When applied to the Halpha spins of the Abeta (12-28) peptide, the proposed experiment provides a residue-resolution self-recognition map which is fully consistent with previous independent mutational studies. The method is anticipated to be widely applicable not only to the fast growing family of amyloidogenic peptides but also to the screening and mapping of protein-ligand interactions in general.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".