Artificial Forisomes Are Ideal Models of Forisome Assembly and Activity That Allow the Development of Technical Devices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Forisomes are protein polymers found in leguminous plants that have the remarkable ability to undergo reversible "muscle-like" contractions in the presence of divalent cations and in extreme pH environments. To gain insight into the molecular basis of forisome structure and assembly, we used confocal laser scanning microscopy to monitor the assembly of fluorescence-labeled artificial forisomes in real time, revealing two distinct assembly processes involving either fiber elongation or fiber alignment. We also used scanning and transmission electron microscopy and X-ray diffraction to investigate the ultrastructure of forisomes, finding that individual fibers are arranged into compact fibril bundles that disentangle with minimal residual order in the presence of calcium ions. To demonstrate the potential applications of artificial forisomes, we created hybrid protein bodies from forisome subunits fused to the B-domain of staphylococcal protein A. This allowed the functionalization of the artificial forisomes with antibodies that were then used to target forisomes to specific regions on a substrate, providing a straightforward approach to develop forisome-based technical devices with precise configurations. The functional contractile properties of forisomes are also better preserved when they are immobilized via affinity reagents rather than by direct contact to the substrate. Artificial forisomes produced in plants and yeast therefore provide an ideal model for the investigation of forisome structure and assembly and for the design and testing of tailored artificial forisomes for technical applications.
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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 it