Engineered Ssp DnaX inteins for protein splicing with flanking proline residues
Bibliographic record
Abstract
Inteins are internal protein sequences capable of catalyzing a protein splicing reaction by self-excising from a precursor protein and simultaneously joining the flanking sequences with a peptide bond. Split inteins have separate pieces (N-intein and C-intein) that reassemble non-covalently to catalyze a protein trans-splicing reaction joining two polypeptides. Protein splicing has become increasingly useful tools in many fields of biological research and biotechnology. However, natural and engineered inteins have failed previously to function when being flanked by proline residue at the −1 or +2 positions, which limits general uses of inteins. In this study, different engineered inteins were tested. We found that engineered Ssp DnaX mini-intein and split inteins could carry out protein splicing with proline at the +2 positions or at both −1 and +2 positions. Under in vivo conditions in E. coli cells, the mini-intein, S1 split intein, and S11 split intein spliced efficiently, whereas the S0 split intein did not splice with proline at both −1 and +2 positions. The S1 and S11 split inteins also trans-spliced efficiently in vitro with proline at the +2 positions or at both −1 and +2 positions, but the S0 split intein trans-spliced inefficiently with proline at the +2 position and did not trans-splice with proline at both −1 and +2 positions. These findings contribute significantly to the toolbox of intein-based technologies by allowing the use of inteins in proteins having proline at the splicing point.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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".