Folding and Association of Thermophilic Dimeric and Trimeric DsrEFH Proteins: Tm0979 and Mth1491
Bibliographic record
Abstract
Although the majority of natural proteins exist as protein-protein complexes, the molecular basis for the formation and regulation of such interactions and the evolution of protein interfaces remain poorly understood. We have investigated these phenomena by characterizing the thermal and chemical denaturation of thermophilic DsrEFH proteins that have a common subunit fold but distinct quaternary structures: homodimeric Tm0979 and homotrimeric Mth1491. Tm0979 forms a moderate affinity dimer, and a monomeric intermediate is readily populated at equilibrium and during folding kinetics. In contrast, the Mth1491 trimer has extremely high stability, so that a monomeric form is not measurably populated at equilibrium, although it may be during folding kinetics. A common mechanism for evolution of quaternary structures may be facile formation of a relatively stable monomeric species, with stabilizing intermolecular interactions centering on alternative environments for a beta-strand at the edge of the monomer, augmented by malleable hydrophobic interactions. The exceptional trimer stability arises from a remarkably slow unfolding rate constant, 6.5 x 10(-13) s(-1), which is a common characteristic of highly stable thermophilic and/or oligomeric proteins. The folding characteristics of Tm0979 and Mth1491 have interesting implications for assembly and regulation of homo- and heterooligomeric proteins in vivo.
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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) | 0.001 | 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".