Characterization of a Dehydratase and Methyltransferase in the Biosynthesis of Ribosomally Synthesized and Post‐translationally Modified Peptides in <i>Lachnospiraceae</i>
Bibliographic record
Abstract
Abstract As a result of the exponential increase in genomic data, discovery of novel ribosomally synthesized and post‐translationally modified peptide natural products (RiPPs) has progressed rapidly in the past decade. The lanthipeptides are a major subset of RiPPs. Through genome mining we identified a novel lanthipeptide biosynthetic gene cluster (lah) from Lachnospiraceae bacterium C6A11, an anaerobic bacterium that is a member of the human microbiota and which is implicated in the development of host disease states such as type 2 diabetes and resistance to Clostridium difficile colonization. The lah cluster encodes at least seven putative precursor peptides and multiple post‐translational modification (PTM) enzymes. Two unusual class II lanthipeptide synthetases LahM1/M2 and a substrate‐tolerant S‐adenosyl‐l‐methionine (SAM)‐dependent methyltransferase LahSB are biochemically characterized in this study. We also present the crystal structure of LahSB in complex with product S‐adenosylhomocysteine. This study sets the stage for further exploration of the final products of the lah pathway as well as their potential physiological functions in human/animal gut microbiota.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".