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Updated: Mar 14, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Computational Prediction of New Intein Split Sites.
Yi-Zong Lee1, Wei-Cheng Lo2,3, Shih-Che Sue4,5
1Institute of Bioinformatics and Structural Biology, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, 30013, Hsinchu, Taiwan.
We developed a computational method to predict split sites for split inteins, enabling the design of novel protein ligation tools. This approach uses circular permutation prediction to identify permissive sites for creating new split inteins.
Area of Science:
- Protein Engineering
- Computational Biology
- Biochemistry
Background:
- Split inteins are valuable tools for protein engineering and biotechnology.
- Designing novel split inteins requires identifying specific sites for backbone cleavage and rejoining.
- Existing methods for split intein design can be labor-intensive and may lack predictability.
Purpose of the Study:
- To develop and validate a reliable in silico method for predicting viable split sites for novel split intein design.
- To leverage computational circular permutation (CP) prediction to identify permissive internal sites for creating split inteins.
- To integrate an accessible online CP prediction tool (CPred) into the workflow for discovering new split intein sites.
Main Methods:
- Utilized a computational circular permutation (CP) prediction method to identify internal permissive sites within protein structures.
- Developed a strategy to connect original protein termini and create new termini, simulating potential split sites.
- Integrated the CPred online tool to facilitate the search and prediction of suitable split sites for split intein engineering.
Main Results:
- Successfully identified promising candidate sites for generating new split inteins.
- Demonstrated that the identified sites are likely to tolerate backbone opening due to the structural scaffold.
- Showcased the practical application of the CPred tool in a streamlined split intein design process.
Conclusions:
- The described in silico method provides a reliable approach for predicting split sites, advancing the design of split inteins.
- Computational prediction of circular permutation sites is an effective strategy for discovering new split intein functionalities.
- The integration of CPred facilitates efficient and accessible exploration of split intein engineering possibilities.
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