Evolutionary variance analysis of the Glycoside Hydrolase Family 13: Structural evidence in classification and evolution
Bibliographic record
Abstract
Abstract Glycoside Hydrolase Family 13 (GH13) structures are responsible for the hydrolysis of starch into smaller carbohydrates. They important in industrial applications and evolutionary studies. This family has been thoroughly documented in the the Carbohydrate-Active enZYmes Database (CAZY), and divided into subfamilies based mainly in sequence information. Here we give structural evidence into GH13 classification and evolution using structural information. Here we proposed a novel method that is sensitive enough to identify miss-classifications, or to provide evidence for further partition that can be of interests to bio-engineers and evolutionary biologists. We also introduced a method to explore the relative importance of residues with respect to the overall deformation that it causes to the overall structure in an evolutionary time scale. We found that the GH13 family can be classified into three main structural groups. There is a hierarchical structure within these clusters that can be use to inform other classification schemes. We also found that by using structural information, subtle structural shifts can be identified and that can be missed in sequence/phylogeny-only based classifications. When each structural group is explored, we found that identifying the most structurally variable sites can lead to identification of functionally (both catalytically and structurally) important residues.
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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 | 0.000 |
| 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".