Multifacets in silico study of Plant Defensin 1.1 protein (PDF1.1) in <i>Brassica rapa</i> (turnip)
Bibliographic record
Abstract
Brassica rapa (turnip) belongs to the Brassicaceae family. Due to the diseases caused by fungal pathogens such as Erysiphe cruciferarum, Alternaria japonica, and Alternaria brassicae, the yield of B. rapa was reduced in many Asian and European countries. Plant defensins (PDFs) are proteins that have antifungal properties. This research aimed to comprehend the key attributes of B. rapa PDF 1.1s by incorporating a wide range of in silico approaches. Initially, we explored orthologues of PDF 1.1 in B. rapa through Blastp in Phytozome v.13 which highlighted fourteen different orthologues. Afterward, by using Mega X, the homology of B. rapa PDF1.1 proteins with Arabidopsis thaliana PDF1.1 proteins was also inferred. While, the results of NCBI CD show that these proteins possessed a common domain, i.e., gamma-thionin. The major findings of this study included the crucial characteristics of PDF1.1 proteins that were explored by utilizing the PANZZER2 web server and BlastKOALA, which proposed that these proteins possessed degradation ability of pathogen’s cells and were also found to be involved in a mitogen-activated protein kinase signaling pathway. Overall, this research provided a better understanding of the crucial contribution of B. rapa PDFs 1.1 under biotic stress specifically, the pathogenic fungal attack.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".