Homology Modeling and Microarray Analysis of Silicon Transporter Protein in Rice, Barley and Maize
Bibliographic record
Abstract
Higher plants like rice, barley and maize have unique silicon accumulation characteristic. Silicon is taken up in the form of silicic acid by silicon transporter protein in root. The uniqueness of silicon accumulation in different plants is caused by both the physiologic and molecular diversity in the species even in different parts of a single plant. To understand the mechanism of silicon or silicic acid uptake, it is essential to analyze and study the 3D structure of transporter protein and expression profile through microarray experiments. We used I-TASSER and RAMPAGE for prediction and validation of 3D structure of silicon transporters respectively followed by microarray analysis. The 3D models those showed over 90% residues in favorable regions were considered in this study. Microarray analysis indicated root and shoot with highest silicon accumulation in the analyzed plants. For the development of better abiotic stress tolerant plant, expression of this transporter protein in shoot and root is given priority. This particular work might be helpful for designing a better plant with target efficient and maximum silicon uptake ability.
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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) | 0.001 | 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 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".