Zijuan Tao , Yusong Zhang , Yanmei Dai , Changshun Huang , Liangli Luo , Junhao Yue , Jing'e Yue , Hanbing Shi , Zhimin Ou
{"title":"半合理工程的3-酮类固醇-Δ1-dehydrogenase提高催化效率和稳健性类固醇生物转化","authors":"Zijuan Tao , Yusong Zhang , Yanmei Dai , Changshun Huang , Liangli Luo , Junhao Yue , Jing'e Yue , Hanbing Shi , Zhimin Ou","doi":"10.1016/j.enzmictec.2025.110692","DOIUrl":null,"url":null,"abstract":"<div><div>Steroid drugs play a pivotal role in clinical therapeutics, with androsta-1,4-diene-3,17-dione (ADD) serving as a critical intermediate whose efficient biosynthesis relies on the catalytic activity of 3-ketosteroid-Δ1-dehydrogenase (KstD). Building upon the previously engineered KstD<sub>2</sub><sup>ep</sup> variant, this study employed semi-rational design strategies to enhance KstD<sub>2</sub>’s high-substrate-loading adaptability. Key residues (V332, L334, G534) were systematically identified through homology modeling and molecular docking, followed by constructing a combinatorial mutant library. Through alanine scanning and iterative screening of single/multiple-site mutations, the optimal mutant KstD<sub>2</sub><sup>ep</sup> (V332E/L334T/G534V) demonstrated a 1.1-fold enhancement in catalytic efficiency compared to the KstD<sub>2</sub><sup>ep</sup>. Molecular dynamics simulations confirmed significantly enhanced structural stability in the mutant. Whole-cell catalytic optimization revealed expanded operational tolerance to temperature fluctuations, pH variations, and co-solvent exposure. Implementing high-density fermentation coupled with fed-batch substrate supplementation, the process achieved a 1.5-fold increase in substrate conversion efficiency, yielding 117.75 g/L ADD. These advancements position the engineered variant as a high-potential candidate for scalable steroid biotransformation, addressing key barriers to enzymatic stability and process efficiency for enzyme-driven biosynthesis of steroidal pharmaceutical intermediates.</div></div>","PeriodicalId":11770,"journal":{"name":"Enzyme and Microbial Technology","volume":"190 ","pages":"Article 110692"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semi-rational engineering of 3-Ketosteroid-Δ1-dehydrogenase boosts catalytic efficiency and robustness for steroid bioconversion\",\"authors\":\"Zijuan Tao , Yusong Zhang , Yanmei Dai , Changshun Huang , Liangli Luo , Junhao Yue , Jing'e Yue , Hanbing Shi , Zhimin Ou\",\"doi\":\"10.1016/j.enzmictec.2025.110692\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Steroid drugs play a pivotal role in clinical therapeutics, with androsta-1,4-diene-3,17-dione (ADD) serving as a critical intermediate whose efficient biosynthesis relies on the catalytic activity of 3-ketosteroid-Δ1-dehydrogenase (KstD). Building upon the previously engineered KstD<sub>2</sub><sup>ep</sup> variant, this study employed semi-rational design strategies to enhance KstD<sub>2</sub>’s high-substrate-loading adaptability. Key residues (V332, L334, G534) were systematically identified through homology modeling and molecular docking, followed by constructing a combinatorial mutant library. Through alanine scanning and iterative screening of single/multiple-site mutations, the optimal mutant KstD<sub>2</sub><sup>ep</sup> (V332E/L334T/G534V) demonstrated a 1.1-fold enhancement in catalytic efficiency compared to the KstD<sub>2</sub><sup>ep</sup>. Molecular dynamics simulations confirmed significantly enhanced structural stability in the mutant. Whole-cell catalytic optimization revealed expanded operational tolerance to temperature fluctuations, pH variations, and co-solvent exposure. Implementing high-density fermentation coupled with fed-batch substrate supplementation, the process achieved a 1.5-fold increase in substrate conversion efficiency, yielding 117.75 g/L ADD. These advancements position the engineered variant as a high-potential candidate for scalable steroid biotransformation, addressing key barriers to enzymatic stability and process efficiency for enzyme-driven biosynthesis of steroidal pharmaceutical intermediates.</div></div>\",\"PeriodicalId\":11770,\"journal\":{\"name\":\"Enzyme and Microbial Technology\",\"volume\":\"190 \",\"pages\":\"Article 110692\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Enzyme and Microbial Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0141022925001127\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Enzyme and Microbial Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0141022925001127","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Semi-rational engineering of 3-Ketosteroid-Δ1-dehydrogenase boosts catalytic efficiency and robustness for steroid bioconversion
Steroid drugs play a pivotal role in clinical therapeutics, with androsta-1,4-diene-3,17-dione (ADD) serving as a critical intermediate whose efficient biosynthesis relies on the catalytic activity of 3-ketosteroid-Δ1-dehydrogenase (KstD). Building upon the previously engineered KstD2ep variant, this study employed semi-rational design strategies to enhance KstD2’s high-substrate-loading adaptability. Key residues (V332, L334, G534) were systematically identified through homology modeling and molecular docking, followed by constructing a combinatorial mutant library. Through alanine scanning and iterative screening of single/multiple-site mutations, the optimal mutant KstD2ep (V332E/L334T/G534V) demonstrated a 1.1-fold enhancement in catalytic efficiency compared to the KstD2ep. Molecular dynamics simulations confirmed significantly enhanced structural stability in the mutant. Whole-cell catalytic optimization revealed expanded operational tolerance to temperature fluctuations, pH variations, and co-solvent exposure. Implementing high-density fermentation coupled with fed-batch substrate supplementation, the process achieved a 1.5-fold increase in substrate conversion efficiency, yielding 117.75 g/L ADD. These advancements position the engineered variant as a high-potential candidate for scalable steroid biotransformation, addressing key barriers to enzymatic stability and process efficiency for enzyme-driven biosynthesis of steroidal pharmaceutical intermediates.
期刊介绍:
Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells.
We especially encourage submissions on:
Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology
Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels
New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology
New Biotechnological Approaches in Genomics, Proteomics and Metabolomics
Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology
Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.