Subtilisins of<i>Bacillus</i>spp. hydrolyze keratin and allow growth on feathers
Bibliographic record
Abstract
Keratinase is a serine protease produced by Bacillus licheniformis PWD-1 that effectively degrades keratin and confers the ability to grow on feathers to a protease-deficient B. subtilis strain. Studies presented herein demonstrate that B. licheniformis Carlsberg strain NCIMB 6816, which produces the well-characterized serine protease subtilisin Carlsberg, also degrades and grows on feathers. The PWD-1 and Carlsberg strains showed a similar time-course of enzyme production, and the purified serine proteases have similar enzymatic properties on insoluble azokeratin and soluble FITC-casein. Kinetic analysis of both enzymes demonstrated that they have high specificity for aromatic and hydrophobic amino acids in the P1 substrate position, although keratinase discriminates more than subtilisin Carlsberg against charged residues at this site. Nucleotide sequence analysis of the serine protease genes from B. licheniformis strains PWD-1, Carlsberg NCIMB 6816, ATCC 12759, and NCIMB 10689 showed that the kerA-encoded protease of PWD-1 differs from the others only by having V222, rather than A222, near the active site serine S220. Further, high-level expression of subE-encoded subtilisin from B. subtilis (78% similar to subtilisin Carlsberg) also confers growth on feathers on a protease-deficient B. subtilis strain. While strain PWD-1 and the kerA protease efficiently degrade keratin, keratin hydrolysis and growth on feathers is a property that can be conferred by appropriate expression of the major subtilisins, including the industrially produced enzymes.
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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 | 0.000 |
| 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".