Functional Dynamics of Human FKBP12 Revealed by Methyl <sup>13</sup>C Rotating Frame Relaxation Dispersion NMR Spectroscopy
Bibliographic record
Abstract
Transverse relaxation dispersion NMR spectroscopy can provide atom-specific information about time scales, populations, and the extent of structural reorganization in proteins under equilibrium conditions. A method is described that uses side-chain methyl groups as local reporters for conformational transitions taking place in the microsecond regime. The experiment measures carbon nuclear spin relaxation rates in the presence of continuous wave off-resonance irradiation, in proteins uniformly enriched with 13C, and partially randomly labeled with 2H. The method was applied to human FK-506 binding protein (FKBP12), which uses a common surface for binding substrates in its dual role as both an immunophilin and folding assistant. Conformational dynamics on a time scale of approximately 130 micros were detected for methyl groups located in the substrate binding pocket, demonstrating its plasticity in the absence of substrate. The spatial arrangement of affected side-chain atoms suggests that substrate recognition involves the rapid relative movement of the subdomain comprising residues Ala81-Thr96 and that the observed dynamics play an important role in facilitating the interaction of this protein with its many partners, including calcineurin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".