Suppr超能文献

合成及基于酶的类似物评价 - 金属β-内酰胺酶 IMP-1 的酪氨酸硫醇羧酸抑制剂。

Synthesis and enzyme-based evaluation of analogues -tyrosine thiol carboxylic acid inhibitor of metallo-β-lactamase IMP-1.

机构信息

a Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences , Kermanshah , Iran.

b The University of Queensland, School of Chemistry and Molecular Biosciences , Brisbane , Australia.

出版信息

J Enzyme Inhib Med Chem. 2019 Dec;34(1):1414-1425. doi: 10.1080/14756366.2019.1651314.

Abstract

The emergence of drug-resistant pathogenic bacteria is occurring due to the global overuse and misuse of β-lactam antibiotics. Infections caused by some bacteria which secrete metallo-β-lactamases (enzymes that inactivate β-lactam antibiotics) are increasingly prevalent and have become a major worldwide threat to human health. These bacteria are resistant to β-lactam antibiotics and MBL-inhibitor/β-lactam antibiotic combination therapy can be a strategy to overcome this problem. So far, no clinically available inhibitors of metallo-β-lactamases (MBLs) have been reported. In this study, -benzyl tyrosine thiol carboxylic acid analogues () were synthesized after the study of computational simulation by adding of methyl, chloro, bromo and nitro groups to the benzyl ring for investigation of SAR analysis. Although the synthesized molecules shows the potent inhibitory effects against metallo-β-lactamase (IMP-1) with the range of values of 1.044.77 µM, they are not as potent as the candidate inhibitor.

摘要

耐药性病原菌的出现是由于β-内酰胺类抗生素在全球范围内的过度和不当使用。一些分泌金属β-内酰胺酶(可使β-内酰胺类抗生素失活的酶)的细菌引起的感染越来越普遍,已成为全球范围内对人类健康的主要威胁。这些细菌对β-内酰胺类抗生素具有耐药性,而金属β-内酰胺酶抑制剂/β-内酰胺类抗生素联合治疗可能是克服这一问题的策略。到目前为止,还没有报道临床上可使用的金属β-内酰胺酶(MBLs)抑制剂。在这项研究中,通过在苯甲基环上添加甲基、氯、溴和硝基基团,对计算模拟研究进行了研究,合成了 - 苯甲基酪氨酸硫醇羧酸类似物(),以研究 SAR 分析。尽管合成的分子对金属β-内酰胺酶(IMP-1)具有很强的抑制作用, 值范围为 1.044.77 μM,但它们的效力不如候选抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b2/8853707/a2317a15202f/IENZ_A_1651314_UF0001_C.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验