Equilibrium Thermodynamic Analysis of Amyotrophic Lateral Sclerosis-Associated Mutant Apo Cu,Zn Superoxide Dismutases<sup>,</sup>
Bibliographic record
Abstract
The folding and thermodynamic properties of metal free (apo) superoxide dismutases (SODs) are systematically analyzed using equilibrium guanidinium chloride (GdmCl) curves and differential scanning calorimetry (DSC). Chemically and structurally diverse amyotrophic lateral sclerosis (ALS)-associated mutations (G85R, G93R, E100G, I113T) are introduced into a pseudo-wild-type background that has no free cysteines, resulting in highly reversible unfolding. Analysis of the protein concentration dependence of GdmCl curves reveals formation of a monomer intermediate in equilibrium with native dimer and unfolded monomer. Global fitting of the data enables quantitative measurement of free energy changes for both dimer dissociation and monomer intermediate stability. All the mutations decrease protein stability, mainly by destabilizing the monomer intermediate, but also by tending to weaken dimerization, even for mutations far from the dimer interface. Thus, the effects of mutations seem to propagate through the apo protein, and result in increased population of both intermediate and unfolded monomers. This may underlie increased formation of toxic aggregates by mutants in ALS. Analysis of DSC data for apo SODs is consistent with stability measurements from GdmCl curves and provides further evidence for increased aggregation by mutant proteins through increased ratios of van't Hoff to calorimetric enthalpies of unfolding.
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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 | 0.001 |
| 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".