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用于不同基因组片段抗生素抗性分析及天然产物介导干预的泛基因组学:计算机模拟方法

Pan-Genomics of for Antibiotic Resistance Profiling in Different Genome Fractions and Natural Product Mediated Intervention: In Silico Approach.

作者信息

Jalal Khurshid, Khan Kanwal, Hayat Ajmal, Alnasser Sulaiman Mohammed, Meshal Alotaibi, Basharat Zarrin

机构信息

H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.

Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.

出版信息

Life (Basel). 2023 Feb 15;13(2):541. doi: 10.3390/life13020541.

Abstract

is an emerging, enteric pathogen of significance. It was first isolated in 2003 from a pediatric diarrheal sample from Bangladesh. In this study, a comprehensive in silico strategy was followed to first list out antibiotic-resistant genes from core, accessory and unique genome fractions of 95 available genomes of . Then, 56 drug targets were identified from the core essential genome. Finally, ZipA, an essential cell division protein that stabilizes the FtsZ protofilaments by cross-linking them and serves as a cytoplasmic membrane anchor for the Z ring, was selected for further downstream processing. It was computationally modeled using a threading approach, followed by virtual screening of two phytochemical libraries, Ayurvedic (n = 2103 compounds) and Traditional Chinese Medicine (n = 36,043 compounds). ADMET profiling, followed by PBPK modeling in the central body compartment, in a population of 250 non-diseased, 250 cirrhotic and 250 renally impaired people was attempted. ZINC85624912 from Chinese medicinal library showed the highest bioavailability and plasma retention. This is the first attempt to simulate the fate of natural products in the body through PBPK. Dynamics simulation of 20 ns for the top three compounds from both libraries was also performed to validate the stability of the compounds. The obtained information from the current study could aid wet-lab scientists to work on the scaffold of screened drug-like compounds from natural resources and could be useful in our quest for therapy against antibiotic-resistant .

摘要

是一种新出现的重要肠道病原体。它于2003年首次从孟加拉国的一份儿童腹泻样本中分离出来。在本研究中,采用了一种全面的计算机模拟策略,首先从95个可用基因组的核心、辅助和独特基因组部分列出抗生素抗性基因。然后,从核心必需基因组中鉴定出56个药物靶点。最后,选择ZipA,一种通过交联稳定FtsZ原丝并作为Z环的细胞质膜锚定物的必需细胞分裂蛋白,进行进一步的下游处理。使用穿线方法对其进行计算建模,随后对两个植物化学文库进行虚拟筛选,即阿育吠陀文库(n = 2103种化合物)和中药文库(n = 36043种化合物)。尝试在250名非患病、250名肝硬化和250名肾功能受损人群的中央体腔室中进行ADMET分析,然后进行PBPK建模。来自中药文库的ZINC85624912显示出最高的生物利用度和血浆保留率。这是首次尝试通过PBPK模拟天然产物在体内的命运。还对两个文库中排名前三的化合物进行了20纳秒的动力学模拟,以验证化合物的稳定性。从当前研究中获得的信息可以帮助湿实验室科学家研究从自然资源中筛选出的类药物化合物的支架,并且在我们对抗生素抗性的治疗探索中可能会有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/453a/9962377/be94c1e6d23b/life-13-00541-g001.jpg

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