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巴基斯坦白沙瓦地区抗生素耐药基因的分子流行病学以及针对TEM、CTX-M-14、CTX-M-15和SHV-1蛋白的有效抑制剂

Molecular epidemiology of antibiotic-resistant genes and potent inhibitors against TEM, CTX-M-14, CTX-M-15, and SHV-1 proteins of in district Peshawar, Pakistan.

作者信息

Rehman Noor, Azam Sadiq, Ali Amjad, Khan Ibrar, Asghar Muhammad, Ali Momena, Waqas Muhammad, Ullah Farman, Sehra Gul E

机构信息

Centre of Biotechnology and Microbiology, University of Peshawar, Pakistan.

Department of Pathology, Khyber Teaching Hospital, Peshawar, Pakistan.

出版信息

Saudi J Biol Sci. 2021 Nov;28(11):6568-6581. doi: 10.1016/j.sjbs.2021.07.028. Epub 2021 Jul 14.

Abstract

The Extended Spectrum Beta-Lactamases (ESBLs) producing bacteria is an issue of concern for clinicians resulting in minimize the treatment options. To overcome resistance mechanisms, novel inhibitors with good Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties must inhibit the ESBLs resistant genes. The current study aimed to identify the antibiotic resistance genes of ESBLs producing and a single inhibitor was designed to inhibit all the resistant proteins. The results showed that 42.9% ESBL producers had CTX-M (69.9%), TEM (63.4%), SHV (34.5%) and CTX-M-14 (17.5%) genes. The ESBLs producing isolates were resistant to cephalosporins, quinolones, and sulfonamide with Minimum Inhibitory Concentration (MICs) ranging from 64 to >256 μg/ml. To design multi inhibitory ligands, RECAP synthesis was used for the de-novo discovery of 1000 inhibitors database. Protein crystal structures were retrieved from Protein Data Base (PDB). Lipinski's rules of five were applied to the novel inhibitors database to improve the ADMET properties. The novel inhibitors database was selected for docking simulations. Placement of the ligand was used by the London dG algorithm implemented in Molecular Operating Environment (MOE), while GBVI/WSA dG algorithm was used for final refinement. Based on docking score, visual inspection of ligands interaction with key residues, binding affinity, and binding energy of ligands with proteins, ten compounds were selected for ESBLs proteins with best ADMET properties, binding energy, and binding affinity the reported ones. These hits compounds have unique scaffolds and are predicted to be a starting point for developing potent inhibitors against antibiotic-resistant proteins.

摘要

产超广谱β-内酰胺酶(ESBLs)的细菌是临床医生关注的问题,这导致治疗选择减少。为了克服耐药机制,具有良好吸收、分布、代谢、排泄和毒性(ADMET)特性的新型抑制剂必须抑制ESBLs耐药基因。当前的研究旨在鉴定产ESBLs的抗生素耐药基因,并设计一种单一抑制剂来抑制所有耐药蛋白。结果显示,42.9%的ESBLs生产者具有CTX-M(69.9%)、TEM(63.4%)、SHV(34.5%)和CTX-M-14(17.5%)基因。产ESBLs的分离株对头孢菌素、喹诺酮类和磺胺类药物耐药,最低抑菌浓度(MICs)范围为64至>256μg/ml。为了设计多抑制性配体,利用RECAP合成法从头发现了1000个抑制剂数据库。从蛋白质数据库(PDB)中检索蛋白质晶体结构。将Lipinski的五规则应用于新型抑制剂数据库,以改善ADMET特性。选择新型抑制剂数据库进行对接模拟。在分子操作环境(MOE)中实现的伦敦dG算法用于配体的放置,而GBVI/WSA dG算法用于最终优化。基于对接分数、对配体与关键残基相互作用的视觉检查、配体与蛋白质的结合亲和力和结合能,选择了十种化合物,它们对ESBLs蛋白具有最佳的ADMET特性、结合能和结合亲和力。这些命中化合物具有独特的支架结构,预计将成为开发针对抗生素耐药蛋白的有效抑制剂的起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4549/8569001/ec0f998fba42/gr1.jpg

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