基于计算机对去乙酰诺米林(Deacetylnomilin)进行全面评估,将其作为从具有多重耐药性的 1382 号泄殖腔肠杆菌分离物的全基因组序列中发现的抗生素耐药基因的抑制剂。

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED Molecular Diversity Pub Date : 2024-12-20 DOI:10.1007/s11030-024-11077-3
Shubhi Singh, Sahithya Selvakumar, Priya Swaminathan
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引用次数: 0

摘要

由于机会性细菌,特别是ESKAPE群中抗生素耐药性的增长,21世纪对公众健康构成严重威胁,其中包括具有高发病率、死亡率、毒力和医院传播率的肠杆菌物种。肠杆菌,特别是阴沟肠杆菌,通过持续产生AmpC -内酰胺酶等机制对多种抗生素产生耐药性。本研究利用GenBank (ID: OW968328.1)的序列数据,采用综合生物信息学方法对阴沟肠杆菌基因组进行分析。利用AbritAMR和ResFinder工具鉴定耐药基因,其中包括blaOXA-48、blaCMH、FosA、OqxA和OqxB,这些基因对β-内酰胺类和氟喹诺酮类等特定抗生素具有耐药性。使用ProtParam、SOPMA、Robetta、I-TASSER、AlphaFold和PROCHECK等生物信息学工具对这些蛋白进行分析,研究不同的结构模型及其性质。AlphaFold的模型在结构精度方面具有最好的质量,为这些抗性蛋白的3D构象提供了有价值的见解。基于分子对接研究,这些构建的靶标与20种已知具有抗革兰氏阴性菌活性的天然化合物对接。其中Deacetylnomilin的对接评分最高,通过了它们的ADMET特性。用不同耐药蛋白对去乙酰氨基诺米林进行了100 ns的分子动力学模拟。与参比化合物相比,Deacetylnomilin在所有5种蛋白中都表现出更有利的结合自由能,表明更高的稳定性和亲和力。这些结果表明,Deacetylnomilin可能是一种有效的抗阴沟肠杆菌耐药蛋白的抑制剂,使其成为进一步药物开发的有希望的候选者。
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A comprehensive computer-based assessment of Deacetylnomilin as an inhibitor for antibiotic-resistant genes identified from the whole genome sequence of the multidrug-resistant Enterobacter cloacae isolate 1382.

The twenty-first century presents a serious threat to public health due to the growth in antibiotic resistance among opportunistic bacteria, particularly within the ESKAPE group, which includes Enterobacter species with high morbidity, mortality, virulence, and nosocomial dissemination rates. Enterobacter species, especially Enterobacter cloacae, bacteria have developed resistance to multiple antibiotics through mechanisms, such as continuous production of AmpC beta-lactamase. In this study, a comprehensive bioinformatics approach was employed to analyze the genome of Enterobacter cloacae, utilizing sequence data from GenBank (ID: OW968328.1). The AbritAMR and ResFinder tools were utilized to identify antibiotic-resistant genes, which included the presence of blaOXA-48, blaCMH, FosA, OqxA, and OqxB each conferring resistance to specific antibiotics such as β-lactams and fluoroquinolones. These proteins were analyzed using bioinformatics tools such as ProtParam, SOPMA, Robetta, I-TASSER, AlphaFold, and PROCHECK to investigate different structural models and their properties. The models from AlphaFold had the best quality in terms of structural accuracy, providing valuable insights into the 3D conformations of these resistant proteins. Based on the Molecular docking studies, these constructed targets were docked with 20 natural compounds known for their activity against Gram-negative bacteria. Among them, Deacetylnomilin showed the highest docking score and passed their ADMET properties. Molecular dynamic (MD) simulation was conducted for 100 ns for Deacetylnomilin with different resistant proteins. Deacetylnomilin exhibited more favorable binding free energies compared to the reference compounds across all five proteins, indicating higher stability and affinity. These results suggest that Deacetylnomilin could be an effective inhibitor against the resistant proteins of Enterobacter cloacae, making it a promising candidate for further drug development.

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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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