磺胺药物降解过程中磺胺单氧化酶中底物和辅助因子的结合顺序:硅学研究。

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Amogh Desai, Ved Mahajan, Raghunath O Ramabhadran, Raju Mukherjee
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引用次数: 0

摘要

几十年来,磺胺类抗生素一直被用于农业和畜牧业等各行各业。然而,由于抗生素污染,这些抗生素的使用和不慎滥用导致了磺胺类耐药菌株的出现。抗生素的酶法生物修复仍然是一种潜在的新兴抗生素污染治理方案。我们采用了一种多管齐下的计算策略,包括蛋白质结构建模、配体对接和分子动力学模拟,以破译细菌磺酰胺单加氧酶 SulX 对磺胺类药物进行酶降解的合理结合顺序。我们的研究结果使我们能够预测,这种降解是通过抗生素磺酰胺与还原黄素辅助因子 FMNH2 的顺序结合实现的,从而为进一步推进抗生素的酶介导降解奠定了计算基础。我们还提供了一份实验清单,可用于验证和跟进我们的室内研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Binding order of substrate and cofactor in sulfonamide monooxygenase during sulfa drug degradation: in silico studies.

For decades, sulfonamide antibiotics have been used across industries such as agriculture and animal husbandry. However, the use and inadvertent misuse of these antibiotics have resulted in the advent of sulfonamide-drug-resistant strains due to antibiotic pollution. Enzymatic bioremediation of antibiotics remains a potential emerging solution to combat antibiotic pollution. Here, we propose an enzymatic model for the degradation of sulfonamides by Microbacterium sp. We have employed a multi-pronged computational strategy involving - protein structure modelling, ligand docking and molecular dynamics simulations to decipher a plausible binding order for the enzymatic degradation of sulfonamides by the bacterial sulfonamide monooxygenase, SulX. Our results enable us to predict that this degradation is achieved through the sequential binding of the antibiotic sulfonamide followed by the reduced flavin cofactor FMNH2, thereby laying the computational foundation for further advancements in enzyme-mediated degradation of the antibiotic. We also provide a list of experiments which may be performed to verify and follow-up on our in-silico studies.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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