Computer-directed rational design enhanced the thermostability of carbonyl reductase LsCR for the synthesis of ticagrelor precursor
- PMID: 38265115
- DOI: 10.1002/bit.28662
Computer-directed rational design enhanced the thermostability of carbonyl reductase LsCR for the synthesis of ticagrelor precursor
Abstract
Carbonyl reductases are useful for producing optically active alcohols from their corresponding prochiral ketones. Herein, we applied a computer-assisted strategy to increase the thermostability of a previously constructed carbonyl reductase, LsCRM4 (N101D/A117G/F147L/E145A), which showed an outstanding activity in the synthesis of the ticagrelor precursor (1S)-2-chloro-1-(3,4-difluorophenyl)ethanol. The stability changes introduced by mutations at the flexible sites were predicted using the computational tools FoldX, I-Mutant 3.0, and DeepDDG, which demonstrated that 12 virtually screened mutants could be thermally stable; 11 of these mutants exhibited increased thermostability. Then a superior mutant LsCRM4-V99L/D150F was screened out from the library that was constructed by iteratively combining the beneficial sites, which showed a 78% increase in activity and a 17.4°C increase in melting temperature compared to LsCRM4. Our computer-assisted design and combinatorial strategy dramatically increased the efficiency of thermostable enzyme production.
Keywords: carbonyl reductase; chiral alcohol; computer‐aided design; protein engineering; thermostability.
© 2024 Wiley Periodicals LLC.
References
REFERENCES
-
- Bi, J., Chen, S., Zhao, X., Nie, Y., & Xu, Y. (2020). Computation‐aided engineering of starch‐debranching pullulanase from Bacillus thermoleovorans for enhanced thermostability. Applied Microbiology and Biotechnology, 104, 7551–7562.
-
- Cao, H., Wang, J., He, L., Qi, Y., & Zhang, J. Z. (2019). DeepDDG: Predicting the stability change of protein point mutations using neural networks. Journal of Chemical Information and Modeling, 59(4), 1508–1514.
-
- Capriotti, E., Fariselli, P., Calabrese, R., & Casadio, R. (2005). Predicting protein stability changes from sequences using support vector machines. Bioinformatics, 21(Suppl. 2), ii54–ii58.
-
- Capriotti, E., Fariselli, P., & Casadio, R. (2005). I‐Mutant2. 0: Predicting stability changes upon mutation from the protein sequence or structure. Nucleic Acids Research, 33(Suppl. 2), W306–W310.
-
- Cheng, Z., Lan, Y., Guo, J., Ma, D., Jiang, S., Lai, Q., Zhou, Z., & Peplowski, L. (2020). Computational design of nitrile hydratase from Pseudonocardia thermophila JCM3095 for improved thermostability. Molecules, 25(20), 4806.
MeSH terms
Substances
Grants and funding
- 2021YFC2102900/National Key Research and Development Program of China
- 2021YFC2102000/National Key Research and Development Program of China
- 22178318/National Natural Science Foundation of China
- 22308331/National Natural Science Foundation of China
- 2020R52013/Department of Science and Technology of Zhejiang Province
LinkOut - more resources
Full Text Sources