An insight into structural and functional characteristics of 3-hydoxy 3-methyl glutarylCoA reductase from Ocimum species
Bibliographic record
Abstract
Secondary metabolites, the biological compounds secreted by plants as an aid to support their growth and development under stress conditions or as a part of their defense mechanism, now hold equal importance for mankind who employs it immensely for medication, flavorings, aroma, etc. Wide applicability of these compounds instigates one to understand the biosynthesis, structure and regulation of these bioactive molecules. Terpenoids form the largest group of secondary metabolites which comprise of a wide range of structurally and functionally distinct metabolites synthesized either via mevalonate pathway or non-mevalonate pathway. Targeting a key regulatory enzyme of this pathway, modulation of which would alter the carbon flux would be beneficial to enhance our knowledge about the above issue. For this the transcriptome (from SRA) of different Ocimum species was mined out for important pathway genes using various bioinformatics approaches. Amongst them 3-hydoxy 3-methyl glutaryl CoA reductase (HMGR) was selected which is the rate limiting enzyme in mevalonate pathway which controls the conversion of HMG-CoA to mevalonic acid. Isolation, cloning, protein expression, purification, etc. would be discussed in detail in the meeting. Full length protein was also characterized through bioinformatics tools to study its structure, properties, conserved domains, etc. Increase in secondary metabolite production by alteration of HMGR pool along with transcript modulation studies in planta revealed that HMGR gene governs the biosynthesis of secondary metabolites. Transcriptome mapping of different HMGR homologs which on comparison within member of same genus revealed its divergent nature which could account to its multifunctional role in different plants. Besides, providing a deep insight about the enzyme function combination of such molecular, transgenic and bioinformatics tools would help to develop strategies to engineer the HMGR mediated flux and also valuable metabolites in plants.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".