QGEM 2012: Building a Chimeric Flagellar Scaffold for Enhanced Bioremediation and Biosynthesis
Bibliographic record
Abstract
Synthetic biology is a rapidly expanding field that involves designing biological systems and operating them in living cells. The Queen’s Genetically Engineered Machine (QGEM) team competes annually at the International Genetically Engineered Machine (iGEM) competition, which challenges students around the globe to use synthetic biology to solve real-world problems. Last year, the QGEM team sought to improve the efficiency of bioremediation and biosynthesis by modifying the flagella of E. coli. Flagella are whip-like appendages that many organisms and cells use for locomotion. One flagellum is composed of 20 000 self-assembling protein subunits called flagellin, which can be divided into two parts. One part is necessary to form the flagellum polymer, and the second part is an auxiliary domain with no particular function. This domain can be replaced with functional proteins, such as metal-binding proteins for bioremediation or useful enzymes for biosynthesis. With the incorporation of proteins for binding, adhesion, degradation, and synthesis, normal flagella can be transformed into functional appendages that can be useful in many applications. As an additional component of their project, the QGEM team developed dance as a new means of teaching and explaining science, and incorporated it into their presentation at the iGEM competition.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".