Rapid and efficient one‐step purification of a serralysin family protease by using a <i>p</i>‐aminobenzamidine‐modified affinity medium
Bibliographic record
Abstract
The metalloproteinase MP belongs to the serralysin family, which is involved in important functions such as nutrient acquisition and infection pathogenesis. Serralysin proteases in highly purified form are commonly used at the industrial level with several purposes. In this study, we set up an efficient and rapid purification protocol for MP using a p‐aminobenzamidine‐modified affinity chromatography. The affinity medium was synthesized by using p‐aminobenzamidine as affinity ligand immobilized via cyanuric chloride spacer to Sepharose 6B sorbent carrier. According to the adsorption analysis, the dissociation constant Kd and theoretical maximum adsorption Qmax of this medium were 24.2 μg/mL and 24.1 mg/g wet sorbent, respectively. The purity of MP was assessed by a high‐performance liquid chromatography on a TSK3000SW column and sodium dodecyl sulfate polyacrylamide gel electrophoresis, revealing values of 98.7 and ∼98%, respectively. The specific activity of purified MP was 95.6 U/mg, which is similar to values obtained through traditional purification protocols. In conclusion, our protocol could be easily employed for the rapid isolation of MP with high purity, and could be implemented for other serralysin family 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 | 0.000 | 0.001 |
| 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 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".