Three‐Segment Protein Labeling Using a Highly Efficient and Cysteine‐Less Split Intein Identified with Computational Prediction of Aggregation Properties

Split inteins are versatile tools in protein engineering. We envisaged a new tandem protein trans-splicing (PTS) scheme to assemble a protein from three segments, of which each can be individually treated with regard to its cysteine oxidation or chemical labeling status. However, only a single highly efficient cysteine-less split intein has been reported so far. Split intein activities are currently not predictable and require time-consuming biochemical characterizations. We aimed to accelerate the discovery of novel split inteins with high splicing efficiency by computational sequence analysis. Inspired by our previous finding that linked reduced splicing efficiency of characterized split intein fragments to soluble, β-sheet-rich amyloid-like aggregates, we confirmed the inverse correlation between predicted aggregation propensity and splicing efficiency for new intein candidates by size-exclusion chromatography and biochemical analysis. The LCGC14 intein emerged as a second available cysteine-less split intein with virtually quantitative splicing efficiency, significantly expanding protein engineering opportunities independent of thiol chemistries or in oxidizing conditions. We exploit the orthogonality to the cysteine-less CLm intein to assemble proteins from three selectively labeled segments, as demonstrated for a trimodular non-ribosomal peptide synthetase (NRPS). The prediction of split intein efficiency from their sequence is a significant advancement to streamline future discovery processes.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-10-23
DOI
https://doi.org/10.1002/anie.202515821
Citations
1
Primary Topic
Biochemical and Structural Characterization
Type
article
Field-Weighted Citation Impact
0.81

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article

Three‐Segment Protein Labeling Using a Highly Efficient and Cysteine‐Less Split Intein Identified with Computational Prediction of Aggregation Properties

Christoph Humberg, Shmuel Pietrokovski, Henning D. Mootz, Jonas Kröger
1 citations
Angewandte Chemie International Edition
Biochemical and Structural Characterization
0.81
article

Three‐Segment Protein Labeling Using a Highly Efficient and Cysteine‐Less Split Intein Identified with Computational Prediction of Aggregation Properties

Christoph Humberg, Shmuel Pietrokovski, Henning D. Mootz, Jonas Kröger
article en
1 citations

Abstract

Split inteins are versatile tools in protein engineering. We envisaged a new tandem protein trans-splicing (PTS) scheme to assemble a protein from three segments, of which each can be individually treated with regard to its cysteine oxidation or chemical labeling status. However, only a single highly efficient cysteine-less split intein has been reported so far. Split intein activities are currently not predictable and require time-consuming biochemical characterizations. We aimed to accelerate the discovery of novel split inteins with high splicing efficiency by computational sequence analysis. Inspired by our previous finding that linked reduced splicing efficiency of characterized split intein fragments to soluble, β-sheet-rich amyloid-like aggregates, we confirmed the inverse correlation between predicted aggregation propensity and splicing efficiency for new intein candidates by size-exclusion chromatography and biochemical analysis. The LCGC14 intein emerged as a second available cysteine-less split intein with virtually quantitative splicing efficiency, significantly expanding protein engineering opportunities independent of thiol chemistries or in oxidizing conditions. We exploit the orthogonality to the cysteine-less CLm intein to assemble proteins from three selectively labeled segments, as demonstrated for a trimodular non-ribosomal peptide synthetase (NRPS). The prediction of split intein efficiency from their sequence is a significant advancement to streamline future discovery processes.

Angewandte Chemie International EditionVol. 64(51)
University of Münster (DE), Zero to Three (US), Weizmann Institute of Science (IL), FH Münster University of Applied Sciences (DE)
Deutsche Forschungsgemeinschaft, Weizmann Institute of Science
Openalex Percentile: Top 22%
Biochemical and Structural Characterization
0.81
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