Analysis of <i>Bt</i> S3076-1 Toxin Protein at Genome-wide Level
Bibliographic record
Abstract
In order to systematically analyze the quantity, species and distribution of Bt toxin protein carried by Bt S3076-1 strain, gene prediction, local database blast and protein structure analysis of Bt S3076-1 strain were carried out at the genome-wide level in this research. A total of 45 candidate Bt toxin protein genes were identified in the genome of Bt S3076-1 strain. To further confirm the reliability of these Bt toxin protein genes, we analyzed the primary, secondary and tertiary structures of these candidate Bt toxin proteins. The results of physicochemical properties analysis showed that the length of these candidate Bt toxin proteins sequence ranged from 50 to 1 247 aa, the molecular weight of the proteins ranged from 6.02 to 141.55 kD, and the isoelectric point of the proteins ranged from 4.3 to 10.88. The pH of 21 proteins of these candidate Bt toxin proteins were greater than 7. The results of protein tertiary domain analysis and functional domain analysis of PFAM indicated that there were seven Cry toxin proteins containing typical 3-Domain endotoxin domains (Endotoxin_N, Endotoxin_M and delta_endotoxin_C) in Bt S3076-1 genome, four Cry toxin proteins containing atypical conserved domains (RICIN or Toxin_10, etc.), and one Vip toxin protein. Therefore, it was predicted that eleven genes encoding Cry toxin protein and one gene encoding Vip toxin protein might exist in Bt S3076-1 strain.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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".