Cloning and characterization of new cellulases from Cellulomonas fimi and Cellulomonas flavigena
Bibliographic record
Abstract
Lignocellulose is one of the most abundant carbon sources in nature. This naturally-occuring substance is an underutilized source of bioenergy. A major bottleneck in biofuel processing is the enzymatic hydrolysis of lignocellulose into its ultimate fermentable product, glucose. Cellulomonas fimi is a well-studied soil organism known for its capabilities to efficiently hydrolyze cellulose. Recently sequenced genomes of Cellulomonas fimi and Cellulomonas flavigena have allowed analysis to reveal previously unidentified cellulases from several glycoside hydrolase (GH) families. This study also includes the expression of secreted cellulases from families GH 5, 6, and 9 at the protein level by the native organism after growth in media supplemented with carboxymethylcellulose or soluble xylan. In order to find enzymes with novel qualities, the cloning and expression of these newly identified cellulases from C. fimi and C. flavigena were done. One of these enzymes is Celf_1230 (Cel6C), a putative cellobiohydrolase from the glycoside hydrolase family 6. Using substituted cellulose derivatives as substrates, we have characterized Celf_1230 to be a thermostable enzyme with endoglucanase activity.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".