Real-Time Protein Unfolding: A Method for Determining the Kinetics of Native Protein Denaturation using a Quantitative Real-Time Thermocycler
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Bibliographic record
Abstract
Protein stability can be monitored by many different techniques. However, these protocols are often lengthy, consume large amounts of protein, and require expensive and specialized instruments. Here we present a new protocol to analyze protein unfolding kinetics using a quantified real-time thermocycler. This technique enables the analysis of a wide range of denaturants (and their interactions with temperature change) on protein stability in a multi-well platform, where samples can be run in parallel under virtually identical conditions and with highly sensitive detection. Using this set-up, researchers can evaluate the half-maximal rate of protein denaturation (K(nd)), maximum rate of denaturation (D(max)), and the cooperativity of individual denaturants in protein unfolding (µ-coefficient). Both lysozyme and hexokinase are used as model proteins and urea as a model denaturant to illustrate this new method and the kinetics of protein unfolding that it provides. Overall, this method allows the researcher to explore a large number of denaturants, at either constant or variable temperatures, within the same assay, providing estimates of denaturation kinetics that have been previously inaccessible.
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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 it