Instituto de Tecnologia Química e Biológica António Xavier, Universidade NOVA de Lisboa, Av. da República, Oeiras 2780-157, Portugal.
Zymvol Biomodeling, Carrer Roc Boronat, 117, Barcelona 08018, Spain.
J Biotechnol. 2024 Aug 10;391:92-98. doi: 10.1016/j.jbiotec.2024.06.012. Epub 2024 Jun 14.
Protein engineering is crucial to improve enzymes' efficiency and robustness for industrial biocatalysis. NOV1 is a bacterial dioxygenase that holds biotechnological potential by catalyzing the one-step oxidation of the lignin-derived isoeugenol into vanillin, a popular flavoring agent used in food, cleaning products, cosmetics and pharmaceuticals. This study aims to enhance NOV1 activity and operational stability through the identification of distal hotspots, located at more than 9 Å from the active site using Zymspot, a tool that predicts advantageous distant mutations, streamlining protein engineering. A total of 41 variants were constructed using site-directed mutagenesis and the six most active enzyme variants were then recombined. Two variants, with two and three mutations, showed nearly a 10-fold increase in activity and up to 40-fold higher operational stability than the wild-type. Furthermore, these variants show 90-100 % immobilization efficiency in metal affinity resins, compared to approximately 60 % for the wild-type. In bioconversions where 50 mM of isoeugenol was added stepwise over 24-h cycles, the 1D2 variant produced approximately 144 mM of vanillin after six reaction cycles, corresponding to around 22 mg, indicating a 35 % molar conversion yield. This output was around 2.5 times higher than that obtained using the wild-type. Our findings highlight the efficacy of distal protein engineering in enhancing enzyme functions like activity, stability, and metal binding selectivity, thereby fulfilling the criteria for industrial biocatalysts. This study provides a novel approach to enzyme optimization that could have significant implications for various biotechnological applications.
蛋白质工程对于提高酶的效率和稳定性以用于工业生物催化至关重要。NOV1 是一种细菌双加氧酶,通过催化木质素衍生的异丁香酚一步氧化为香草醛,具有生物技术潜力,香草醛是一种用于食品、清洁产品、化妆品和制药的流行香料。本研究旨在通过使用 Zymspot(一种预测有利的远程突变的工具)识别距离活性位点超过 9 Å 的远程热点,来提高 NOV1 的活性和操作稳定性,从而简化蛋白质工程。使用定点突变技术构建了总共 41 种变体,然后对 6 种最活跃的酶变体进行了重组。两种变体,具有两个和三个突变,其活性提高了近 10 倍,操作稳定性提高了 40 倍以上,高于野生型。此外,与野生型相比,这些变体在金属亲和树脂中的固定化效率高达 90-100%,而野生型约为 60%。在生物转化中,在 24 小时的循环中逐步添加 50 mM 的异丁香酚,1D2 变体在六个反应循环后产生了约 144 mM 的香草醛,相当于约 22 mg,表明摩尔转化率约为 35%。这一输出值比使用野生型时高出约 2.5 倍。我们的研究结果突出了远程蛋白质工程在提高酶的功能(如活性、稳定性和金属结合选择性)方面的有效性,从而满足了工业生物催化剂的标准。本研究为酶的优化提供了一种新方法,可能对各种生物技术应用具有重要意义。