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      Engineering a norcoclaurine synthase for one-step synthesis of ( S)-1-aryl-tetrahydroisoquinolines

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          Abstract

          Tetrahydroisoquinoline alkaloids (THIQAs) are ubiquitous compounds with important pharmaceutical and biological activity. Their key N-heterocyclic structural motifs are synthesised via Pictet–Spengler (P–S) reaction by norcoclaurine synthases (NCS) in plants. The synthesis of 1-aryl-tetrahydroisoquinoline alkaloids has attracted increasing attention due to their antitumor and antivirus activities. Herein, the L68T/M97V mutant of NCS from Thalictrum flavum with improved activity was developed by semi-rational design. This mutant not only showed higher catalytic performance (> 96% conversion) toward benzaldehyde and dopamine over the wild-type enzyme, but also catalysed the P–S reaction of the bulky substrate 4-biphenylaldehyde and dopamine with high conversion (> 99%) for the effective synthesis of 1-aryl-THIQA. In terms of stereoselectivity, all products synthesised by the L68T/M97V mutant showed high optical purity (92–99% enantiomeric excess).

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          The online version contains supplementary material available at 10.1186/s40643-023-00637-4.

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          Protein Identification and Analysis Tools on the ExPASy Server

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            Computational protein-ligand docking and virtual drug screening with the AutoDock suite.

            Computational docking can be used to predict bound conformations and free energies of binding for small-molecule ligands to macromolecular targets. Docking is widely used for the study of biomolecular interactions and mechanisms, and it is applied to structure-based drug design. The methods are fast enough to allow virtual screening of ligand libraries containing tens of thousands of compounds. This protocol covers the docking and virtual screening methods provided by the AutoDock suite of programs, including a basic docking of a drug molecule with an anticancer target, a virtual screen of this target with a small ligand library, docking with selective receptor flexibility, active site prediction and docking with explicit hydration. The entire protocol will require ∼5 h.
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              Computed structures of core eukaryotic protein complexes

              Protein-protein interactions play critical roles in biology, but the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions not yet identified. We take advantage of advances in proteome-wide amino acid coevolution analysis and deep-learning–based structure modeling to systematically identify and build accurate models of core eukaryotic protein complexes within the Saccharomyces cerevisiae proteome. We use a combination of RoseTTAFold and AlphaFold to screen through paired multiple sequence alignments for 8.3 million pairs of yeast proteins, identify 1505 likely to interact, and build structure models for 106 previously unidentified assemblies and 806 that have not been structurally characterized. These complexes, which have as many as five subunits, play roles in almost all key processes in eukaryotic cells and provide broad insights into biological function.
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                Author and article information

                Contributors
                gaoweizheng@ecust.edu.cn
                Journal
                Bioresour Bioprocess
                Bioresour Bioprocess
                Bioresources and Bioprocessing
                Springer Nature Singapore (Singapore )
                2197-4365
                1 March 2023
                1 March 2023
                December 2023
                : 10
                : 1
                : 15
                Affiliations
                GRID grid.28056.39, ISNI 0000 0001 2163 4895, State Key Laboratory of Bioreactor Engineering, Shanghai Collaborative Innovation Centre for Biomanufacturing, College of Biotechnology, , East China University of Science and Technology, ; Shanghai, 200237 People’s Republic of China
                Author information
                http://orcid.org/0000-0001-5918-6047
                Article
                637
                10.1186/s40643-023-00637-4
                10992437
                e56629ef-eab3-403d-80b4-acb1a0f60fa9
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 November 2022
                : 12 February 2023
                Funding
                Funded by: National Key Research and Development Program of China
                Award ID: 2019YFA09005000
                Award ID: 2021YFC2102800
                Award ID: 2021YFA0911400
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 21878085
                Award ID: 31971380
                Award ID: 21472045
                Award ID: 21871085
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100012476, Fundamental Research Funds for Central Universities of the Central South University;
                Award ID: 22221818014
                Award Recipient :
                Categories
                Research
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                © The Author(s) 2023

                biocatalysis,norcoclaurine synthase,protein engineering,pictet–spengler reaction,tetrahydroisoquinoline alkaloids

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