Metabolite and transcriptome analysis of an Australian eremohila plant and its correlation to antibacterial effects
Bibliographic record
Abstract
The Australian plant Eremophila belongs to the Myoporaceae tribe and includes over 200 different species. Some Eremophila species have been used in the Aboriginal medicine to alleviate symptoms like skin lesions and sore throat [1]. Various studies showed antibacterial effects of different Eremophila species against a wide range of Gram positive bacteria. Interestingly, we also observed an antibacterial effect of semipurified Eremophila serrulata fractions against the Gram negative bacterium Proteus vulgaris . This study deals with the elucidation of terpene biosynthetic pathways in Eremophila serrulata . Different terpene transcripts were identified by applying different bioinformatic approaches in a normalized transcriptome data set sequenced on the Illumina MiSeq system. The poster presents different terpenes identified from this plant and describes the results from sequence analysis of the transcriptome for metabolic reconstruction and of the expression and characterization of biosynthetic enzymes. [1] Ndi et al . (2007). Phytochemistry , 68.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".