Genetic Surfaceome <i>E. coli</i> Reprogramming Enables Selective Water Oxidation
Bibliographic record
Abstract
Programming catalytic behavior at the microbial genome level is a frontier in synthetic biology with direct impact on bioelectrocatalysis. A key challenge is the coordinated control of gene expression, localization, folding, and cofactor maturation required to achieve proper bioelectrocatalytic activity. Here, a synthetic operon in Escherichia coli is engineered to reprogram its surfaceome for selective water oxidation. Using orthogonal IPTG-inducible control and codon-optimized expression, a fungal bilirubin oxidase (BOD) displayed at the cell surface is produced by ice nucleation protein anchoring (BOD-E. coli). Post-overexpression copper catalytic site reconstitution provides an active holoenzyme. The developed engineered living material performs water oxidation at near-zero overpotential (27 mV at pH 9.1), with complete suppression of the oxygen reduction reaction. These results show how regenerable microbial platforms can be designed for selective catalysis and artificial photosynthesis.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".