Computational Modeling of a New Fluorescent Biosensor for Caspase Proteolytic Activity Improves Dynamic Range
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Bibliographic record
Abstract
The class of fluorescence resonance energy transfer (FRET) protein biosensors that are useful for measuring protease activity is composed of a tandem fusion of yellow fluorescent protein (YFP), a cleavage recognition sequence, and cyan fluorescent protein (CFP). The dynamic range of these FRET-based protein biosensors is often weak, but applications such as high throughput drug screening require stronger dynamic ranges. Using the biosensor for the caspase-3 protease as an example, here we showed a computational approach to improve the FRET dynamic range based on the atomic structure of caspase-3 bound to its inhibitor. This result was verified from our experiments where the FRET dynamic range improved by at least 60% on average in both in vitro and in vivo contexts. In concept, the same strategy can be applied to improve dynamic range of other FRET-based protein biosensors for protease activity where there exist solved atomic structures for protein complexes.
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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