Enhancement of oligomeric stability by covalent linkage and its application to the human p53tet domain: thermodynamics and biological implications
Bibliographic record
Abstract
The formation of oligomeric proteins proceeds at a major cost of reducing the translational and rotational entropy for their subunits in order to form the stabilizing interactions found in the oligomeric state. Unlike site-directed mutations, covalent linkage of subunits represents a generically applicable strategy for enhancing oligomeric stability by reducing the entropic driving force for dissociation. Although this can be realized by introducing de novo disulfide cross-links between subunits, issues with irreversible aggregation limit the utility of this approach. In contrast, tandem linkage of subunits in a single polypeptide chain offers a universal method of pre-paying the entropic cost of oligomer formation. In the present paper, thermodynamic, structural and experimental aspects of designing and characterizing tandem-linked oligomers are discussed with reference to engineering a stabilized tetramer of the oligomerization domain of the human p53 tumour-suppressor protein by tandem dimerization.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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".