Structural comparison of <i>Faecalibacterium prausnitzii</i> α-glycosidases and sucrase-isomaltase
Bibliographic record
Abstract
The human gastrointestinal system is home to a very diverse microbiome that is made up of approximately 100 trillion microorganisms. This microbiome has a significant impact on human health, as it can influence the immune system, the central nervous system and the body's metabolism. Faecalibacterium prausnitzii is one of the most abundant microorganisms found in a healthy gut, where it makes up about 5% of the microbiome. This gastrointestinal microorganism produces 2 enzymes belonging to the glycoside hydrolase family 31, which will be referred to as Fp-G1 and Fp-G2. These -glycosidases have notable structural similarities to the N-terminal subunit of sucrase-isomaltase. Sucrase-Isomaltase (SI) is a gastrointestinal enzyme found in humans, and is responsible for hydrolyzing carbohydrates with -1,6, -1,4 and -1,2 glycosidic bonds. The objective of this project is to compare the enzymatic activity of F. prausnitzii -glycosidases to the N-terminal subunit of SI, in order to investigate the structural similarities between the proteins. Real time kinetic assays and computational models will be used to identify structural features contributing to the differences in substrate affinity. These investigations into protein structure and enzymatic activity of the -glucosidase proteins will provide a clearer insight on the structure and function of the Fp-G1, Fp-G2, and SI.
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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".