Measurement of Methyl Group Motional Parameters of Invisible, Excited Protein States by NMR Spectroscopy
Bibliographic record
Abstract
An understanding of many biological processes can only be achieved through studies of the structure (enthalpy) and motions (entropy) of the key molecules that are involved, including those that are formed only transiently and with low population. These transiently formed, low populated states are invisible to most biophysical techniques but in many cases they can be studied in detail using relaxation dispersion NMR spectroscopy. Relaxation dispersion methodology has recently been described for the measurement of protein backbone excited state chemical shifts as well as bond vector orientations, which form the basis for structural studies of these invisible conformers. It is of interest to extend such studies by quantifying motional parameters of the excited state, providing a more complete description of the energy landscape that drives the biochemical event in question. Herein we describe a relaxation dispersion method for measuring site-specific motional parameters of methyl containing residues in the excited state. The approach is applied to the invisible unfolded state of the G48M Fyn SH3 domain that is in exchange with the folded conformation. Not surprisingly, the degree of disorder is in general higher in the unfolded state than in the folded conformer, although there is some ordering of side-chains in the unfolded state toward the C-terminal region of the domain. The development of the present methodology provides the first step toward characterizing the motional properties of invisible conformers, complementing the structural information that is already available from relaxation dispersion studies.
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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".