The osmolyte trimethylamine‐<i>N</i>‐oxide stabilizes the Fyn SH3 domain without altering the structure of its folding transition state
Bibliographic record
Abstract
Trimethylamine-N-oxide (TMAO) is a naturally occurring osmolyte that stabilizes proteins against denaturation. Although the impact of TMAO on the folding thermodynamics of many proteins has been well characterized, far fewer studies have investigated its effects on protein folding kinetics. In particular, no previous studies have used Phi-value analysis to determine whether TMAO may alter the structure of the folding transition state. Here we have measured the effects on folding kinetics of 16 different amino acid substitutions distributed across the structure of the Fyn SH3 domain both in the presence and absence of TMAO. The folding and unfolding rates in TMAO, on average, improved to equivalent degrees, with a twofold increase in the protein folding rate accompanied by a twofold decrease in the unfolding rate. Importantly, TMAO caused little alteration to the Phi-values of the mutants tested, implying that this compound minimally perturbs the folding transition state structure. Furthermore, the solvent accessibility of the transition state was not altered as reflected in an absence of a TMAO-induced change in the denaturant beta(T) (D) factors. Through TMAO-induced folding studies, a beta(T) (TMAO) factor of 0.5 was calculated for this compound, suggesting that the protein backbone, which is the target of action of TMAO, is 50% exposed in the transition state as compared to the native state. This finding is consistent with the equivalent effects of TMAO on the folding and unfolding rates. Through thermodynamic analysis of mutants, we also discovered that the stabilizing effect of TMAO is lessened with increasing temperature.
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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) | 0.000 | 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 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".