Temperature-sensitive recombinant subtilisin protease variants that efficiently degrade molecular biology enzymes
Bibliographic record
Abstract
We used error-prone PCR to generate mutations in a subtilisin protease-encoding gene, and screened for recombinants that expressed temperature-sensitive (TS) variants. From the dozens of mutations that we detected in the recombinant genes we found that those mutations that affected aspartate-75 had the most profound effect on temperature stability. We thus focused our analysis on two variants of subtilisin C, the more heat-sensitive variant 24 (V24), with amino acid changes D75G, L234M and Q274P; and variant 25 (V25), with a single amino acid change, D75A. For V24 a two log-fold reduction in activity occurs in under 10 min at 50°C. For V25, a two log-fold reduction occurs at 60°C, a temperature that reduces the activity of the wild type enzyme by about 30%. The V24 variant fully inactivates enzymes commonly used in molecular biology research and in molecular diagnostics, and is stabilized against autolysis with propylene glycol concentrations of 10% or greater. The subtilisin variants are produced by a strain of Bacillus subtilis that lacks expression of its native secreted proteases, and the variants can be isolated from the supernatants using nickel affinity chromatography.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".