There Is Plenty of Room in The Folded Globular Proteins: Tandem Modular Elastomeric Proteins Offer New Opportunities in Engineering Protein‐Based Biomaterials
Bibliographic record
Abstract
Shock absorber‐like elastomeric (SAE) proteins have become attractive building blocks to engineer protein hydrogels with tailored mechanical properties. These elastomeric proteins are tandem modular proteins consisting of individually folded globular domains and exhibit distinct mechanical properties. In response to stretching, folded globular domains can undergo force‐induced unfolding, leading to a significant change in protein stiffness and energy dissipation. These molecular behaviors of individual proteins can be harnessed and translated into macroscopic mechanical traits of protein hydrogels when such SAE proteins are used as building blocks to engineer protein hydrogels. These SAE proteins offer unique opportunities to rationally design protein‐based hydrogels by programming the mechanical properties of individual proteins at the molecular level, and thus help bridge the gap between biomechanics of macroscopic biomaterials and nanomechanics of single molecules.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".