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木质素修饰酶的结构见解、生物催化特性及在可持续生物技术中的应用前景。

Structural insights, biocatalytic characteristics, and application prospects of lignin-modifying enzymes for sustainable biotechnology.

机构信息

Environmental Microbiology Laboratory, Environmental Toxicology Group CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.

Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico.

出版信息

Int J Biol Macromol. 2023 Jul 1;242(Pt 3):124968. doi: 10.1016/j.ijbiomac.2023.124968. Epub 2023 May 20.

Abstract

Lignin modifying enzymes (LMEs) have gained widespread recognition in depolymerization of lignin polymers by oxidative cleavage. LMEs are a robust class of biocatalysts that include lignin peroxidase (LiP), manganese peroxidase (MnP), versatile peroxidase (VP), laccase (LAC), and dye-decolorizing peroxidase (DyP). Members of the LMEs family act on phenolic, non-phenolic substrates and have been widely researched for valorization of lignin, oxidative cleavage of xenobiotics and phenolics. LMEs implementation in the biotechnological and industrial sectors has sparked significant attention, although its potential future applications remain underexploited. To understand the mechanism of LMEs in sustainable pollution mitigation, several studies have been undertaken to assess the feasibility of LMEs in correlating to diverse pollutants for binding and intermolecular interactions at the molecular level. However, further investigation is required to fully comprehend the underlying mechanism. In this review we presented the key structural and functional features of LMEs, including the computational aspects, as well as the advanced applications in biotechnology and industrial research. Furthermore, concluding remarks and a look ahead, the use of LMEs coupled with computational framework, built upon artificial intelligence (AI) and machine learning (ML), has been emphasized as a recent milestone in environmental research.

摘要

木质素修饰酶(LMEs)通过氧化裂解在木质素聚合物的解聚中得到了广泛的认可。LMEs 是一类强大的生物催化剂,包括木质素过氧化物酶(LiP)、锰过氧化物酶(MnP)、多功能过氧化物酶(VP)、漆酶(LAC)和染料脱色过氧化物酶(DyP)。LMEs 家族的成员作用于酚类、非酚类底物,并广泛研究用于木质素的增值、异生物质和酚类的氧化裂解。尽管其潜在的未来应用仍未得到充分开发,但 LMEs 在生物技术和工业领域的应用引起了人们的极大关注。为了了解 LMEs 在可持续污染缓解中的作用机制,已经进行了多项研究,以评估 LMEs 在与不同污染物结合以及在分子水平上进行分子间相互作用的可行性。然而,需要进一步的研究来充分理解潜在的机制。在这篇综述中,我们介绍了 LMEs 的关键结构和功能特征,包括计算方面,以及在生物技术和工业研究中的先进应用。此外,作为环境研究的最新里程碑,强调了将 LMEs 与基于人工智能(AI)和机器学习(ML)的计算框架结合使用的结论和展望。

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