Kinetics and Morphology of Self-Assembly of an Elastin-like Polypeptide Based on the Alternating Domain Arrangement of Human Tropoelastin
Bibliographic record
Abstract
Elastin is the polymeric extracellular matrix protein responsible for the properties of extensibility and elastic recoil in tissues such as arterial blood vessels, lung parenchyma, and skin. Both tropoelastin (TE), the full-length monomeric form of elastin, and elastin-like polypeptides (ELPs), based on sequences and domain arrangements of TE, have the intrinsic ability to undergo organized self-assembly into network structures through a process of temperature-induced phase separation or coacervation. It has been suggested that this property plays a role in in vivo formation of the extracellular elastic matrix. In general, the temperature at which phase separation takes place has been taken as the measure of propensity for self-assembly. However, this phase separation is only the first step in a more complex, multistep process of network formation. We have previously shown that analysis of spectrophotometric data allows extraction of kinetic parameters describing both early (coacervation) and later (maturation) steps of the self-assembly process. Here, using a well-characterized ELP containing three hydrophobic domains flanking two cross-linking domains, we describe the effects of temperature, polypeptide concentration, and solution conditions on the kinetics of self-assembly, providing insights into possible mechanisms for the spontaneous organization of such ELPs into extended networks.
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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) | 0.000 | 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 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".