Measuring hydrogen exchange rates in invisible protein excited states
Bibliographic record
Abstract
Hydrogen exchange rates have become a valuable probe for studying the relationship between dynamics and structure and for dissecting the mechanism by which proteins fold to their native conformation. Typically measured rates correspond to averages over all protein states from which hydrogen exchange can occur. Here we describe a new NMR experiment based on chemical exchange saturation transfer that provides an avenue for obtaining uncontaminated, per-residue amide hydrogen exchange rates for interconverting native and invisible states so long as they can be separated on the basis of distinct (15)N chemical shifts. The approach is applied to the folding reaction of the Fyn SH3 domain that exchanges between a highly populated, NMR-visible native state and a conformationally excited, NMR-invisible state, corresponding to the unfolded ensemble. Excellent agreement between experimentally derived hydrogen exchange rates of the excited state at a pair of pHs is obtained, taking into account the expected dependence of exchange on pH. Extracted rates for the unfolded ensemble have been used to test hydrogen exchange predictions based on the primary protein sequence that are used in many analyses of solvent exchange rates, with a Pearson correlation coefficient of 0.84 obtained.
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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 | 0.001 | 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".