Specific Protein Regions Influence Substrate Specificity and Product Length in Polyunsaturated Fatty Acid Condensing Enzymes
Bibliographic record
Abstract
We describe a condensing enzyme from Pythium irregulare (PirELO) that shows highest activity on the 18-carbon, Delta-6 desaturated fatty acids, stearidonic acid and gamma-linolenic acid. However, this enzyme is also capable of elongating a number of other fatty acids including the 20-carbon, Delta-5 desaturated fatty acid eicosapentaenoic acid. Surprisingly, a Phytophthora infestans condensing enzyme (PinELO) with very high homology to PirELO did not show activity with 20-carbon fatty acids. A series of chimeric proteins for these two enzymes were constructed to investigate the influence of different regions on substrate and product length. The substitution of a region from near the center of PirELO into PinELO resulted in an enzyme having EPA-elongating activity similar to that of PirELO. Only eight amino acids differed between the two proteins in this region; however, substitution of the same region from PinELO into PirELO produced a protein which was almost inactive. The addition of a small region from near the N-terminus of PinELO was sufficient to restore activity with GLA, indicating that amino acids from these two regions interact to determine protein structure or function. Predicted topology models for PirELO and PinELO placed the two regions described here near the luminal-proximal ends of the first and fourth/fifth transmembrane helixes, at the opposite end of the condensing enzyme from four conserved regions thought to form a catalytic ring. Thus, protein characteristics determined by specific luminal-proximal regions of fatty acid condensing enzymes have a major influence on substrate specificity and final product length.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".