Leader-Independent C-Terminal Modification by a Radical <i>S</i> -Adenosyl- <scp>l</scp> -methionine Maturase Enables Macrocyclic GLP-1-Like Peptides
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a rapidly expanding family of natural products in which biosynthetic maturase enzymes tailor ribosomal precursors into bioactive products. Classical RiPP maturation relies on an N-terminal leader sequence in the precursor peptide and a complementary RiPP-recognition element in the enzyme to guide substrate binding. Herein, we interrogated PapB, a radical S -adenosyl- l -methionine RiPP maturase known to introduce thio(seleno)-ether cross-links and discovered that its catalytic reach extends well beyond this paradigm. PapB efficiently processes substrates that lack any canonical leader sequence, demonstrating bona fide leader-independent activity. To highlight the practical value of this capability, we applied PapB to three therapeutically relevant analogues of glucagon-like peptide pathway agonists to generate C-terminal cyclic structures. In every case, the enzyme achieved complete conversion of the linear to the thioether macrocyclized peptide. These results establish PapB as a versatile, plug-and-play biocatalyst for late-stage macrocyclization of structurally diverse peptides, opening a direct route to conformationally constrained therapeutic candidates without the need for leader tags.
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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 | 0.000 |
| 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".