羧酸酯酶
五肽重复序列
嗜热菌
水解酶
化学
生物化学
催化三位一体
酶
蛋白质工程
生物信息学
色谱法
活动站点
肽
基因
作者
Ummie Umaiera Mohd. Johan,Raja Noor Zaliha Raja Abd Rahman,Nor Hafizah Ahmad Kamarudin,Wahhida Latip,Mohd Shukuri Mohamad Ali
标识
DOI:10.1016/j.ijbiomac.2022.10.033
摘要
Carboxylesterases are attractive biocatalysts for various industrial applications, especially hyperthermophilic carboxylesterases, due to their high tolerance toward extreme environments. Such ability confers many advantages, including cost-effectiveness and an increased manufacturing rate. In the current work, we first described the characterization of EstD9, a new carboxylesterase from thermophilic Anoxybacillus geothermalis D9. Sequence analysis of EstD9 revealed a significant identity (80 %) with thermophilic Est30 and a catalytic triad, composed of Ser93-His22-Asp193. As the protein sequence contained a conserved pentapeptide (GLSLG), EstD9 could be proposed as a new member of family XIII. The putative carboxylesterase was recombinantly expressed in E. coli BL21 (DE3) with a molecular mass of 28 kDa and successfully purified via affinity chromatography with recovery of 88.36 %. Using p-nitrophenyl butyrate, EstD9 presented excellent stability at high temperature range (70 °C–100 °C) and a broad pH tolerance (pH 6–9), with optimal activity at 80 °C and pH 7. Notably, EstD9 activity was stimulated in the presence of 1-propanol and DMSO with 107.8 % and 108.9 % relative activities, respectively. The purified EstD9 maintained 60 % residual activity after 30 min exposure to various surfactants and metal ions. Additionally, the inhibition studies demonstrated strong deactivation by phenylmethylsulfonyl fluoride, dithiothreitol, and β-mercaptoethanol. The estimated Tm value was 72.12 °C. Unlike typical carboxylesterases, in silico 3D model of EstD9 disclosed a topological α/β hydrolase fold with a small α-helix cap. The enzymatic properties of EstD9 suggest this enzyme to be a highly suitable catalyst for industrial bioprocesses under harsh conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI