Divergent evolution for diverse substrate recognition by family 31 glycoside hydrolases
Bibliographic record
Abstract
Carbohydrates make up an important component of our diet, contributing a significant portion to our total caloric intake. The ability to harvest these molecules for energy is reliant on the activity of carbohydrate-active enzymes. Family 31 α-glucosidases are a group of glycoside hydrolases that has been shown to play a key role in the metabolic process of hydrolyzing dietary starch into monomers of glucose. The purpose of the research presented here is to explore evolutionary changes that occurred within this family of glycoside hydrolases, and to relate these divergences to observed structural differences in relation to predicted substrate preferences. Here we report specific single amino acid changes that are believed to have arisen through evolution, and are directly related to the ability of these enzymes to bind different starch-based glycans. Through phylogenetic analysis we observed a number of evolutionary adaptions that we believe resulted in duplicated genes that allow for the efficient utilization of dietary starch.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".