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.

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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Abstract

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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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. Immunoinformatic based designing of highly immunogenic multi-epitope subunit vaccines to stimulate an adaptive immune response against Junin virus. Potential VEGFR2 inhibitors for managing metastatic cervical cancer: insights from molecular dynamics and free energy landscape studies. Structural aspects of HIV-1 integrase inhibitors: SAR studies and synthetic strategies. Leveraging machine learning to predict drug permeation: impact of menthol and limonene as enhancers.
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