Sensitive Genetic Screen for Protease Activity Based on a Cyclic AMP Signaling Cascade in <i>Escherichia coli</i>
Bibliographic record
Abstract
We describe a genetic system that allows in vivo screening or selection of site-specific proteases and of their cognate-specific inhibitors in Escherichia coli. This genetic test is based on the specific proteolysis of a signaling enzyme, the adenylate cyclase (AC) of Bordetella pertussis. As a model system we used the human immunodeficiency virus (HIV) protease. When an HIV protease processing site, p5, was inserted in frame into the AC polypeptide, the resulting ACp5 protein retained enzymatic activity and, when expressed in an E. coli cya strain, restored the Cya(+) phenotype. The HIV protease coexpressed in the same cells resulted in cleavage and inactivation of ACp5; the cells became Cya(-). When the entire HIV protease, including its adjacent processing sites, was inserted into the AC polypeptide, the resulting AC-HIV-Pr fusion protein, expressed in E. coli cya, was autoproteolysed and inactivated: the cells displayed Cya(-) phenotype. In the presence of the protease inhibitor indinavir or saquinavir, AC-HIV-Pr autoproteolysis was inhibited and the AC activity of the fusion protein was preserved; the cells were Cya(+). Protease variants resistant to particular inhibitors could be easily distinguished from the wild type, as the cells displayed a Cya(-) phenotype in the presence of these inhibitors. This genetic test could represent a powerful approach to screen for new proteolytic activities and for novel protease inhibitors. It could also be used to detect in patients undergoing highly active antiretroviral therapy the emergence of HIV variants harboring antiprotease-resistant proteases.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".