• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用虚拟筛选、分子对接、动力学和MMPBSA对大语言模型进行有前景的抗菌研究。

Promising antibacterials for LLM of using virtual screening, molecular docking, dynamics, and MMPBSA.

作者信息

Rathi Ravi, Kumari Reena, Pathak Seema R, Dalal Vikram

机构信息

Amity School of Applied Sciences, Amity University Haryana, Haryana, India.

Department of Mathematics and Statistics, Swami Vivekanand Subharti University, Meerut, India.

出版信息

J Biomol Struct Dyn. 2023 Sep-Oct;41(15):7277-7289. doi: 10.1080/07391102.2022.2119278. Epub 2022 Sep 8.

DOI:10.1080/07391102.2022.2119278
PMID:36073371
Abstract

In , lipophilic membrane (LLM) protein is a methicillin resistance factor and is an essential role in peptidoglycan metabolism. The virtual screening of antibacterial molecules against the model of LLM was performed to identify the potent antibacterial molecules. Molecular docking results of pharmacokinetic filtered molecules illustrated that five molecules had higher binding affinities than tunicamycin (TUM) and were stabled via non-covalent interactions (hydrogen bond and hydrophobic interactions) at the active site of LLM. Further, molecular dynamics results revealed that binding of identified antibacterial molecules with LLM resulted in stable LLM-inhibitor(s) complexes. Molecular Mechanics/Position-Boltzmann Surface Area (MMPBSA) analysis showed that LLM-inhibitor(s) complexes had high binding affinities in the range of -213.49 ± 2.24 to -227.42 ± 3.05 kJ/mol. The amino acid residues decomposition analysis confirmed that identified antibacterial molecules bound at the active site (Asn148, Leu149, Asp151, Asp208, His269, His271, and His272) of LLM. Noticeably, the current study found five antibacterial molecules (BDE 27575101, BDE 33638168, BDE 33672484, LAS 51502073, and BDE 25098678) were highly potent than TUM and even than earlier reported molecules. Therefore, here reported antibacterial molecules may be used directly or developed to inhibit LLM of .Communicated by Ramaswamy H. Sarma.

摘要

在[具体内容缺失]中,亲脂性膜(LLM)蛋白是一种耐甲氧西林因子,在肽聚糖代谢中起重要作用。针对LLM模型进行了抗菌分子的虚拟筛选,以鉴定有效的抗菌分子。药代动力学筛选后的分子的分子对接结果表明,有五个分子比衣霉素(TUM)具有更高的结合亲和力,并通过非共价相互作用(氢键和疏水相互作用)稳定在LLM的活性位点。此外,分子动力学结果表明,鉴定出的抗菌分子与LLM的结合产生了稳定的LLM-抑制剂复合物。分子力学/泊松-玻尔兹曼表面积(MMPBSA)分析表明,LLM-抑制剂复合物在-213.49±2.24至-227.42±3.05kJ/mol范围内具有高结合亲和力。氨基酸残基分解分析证实,鉴定出的抗菌分子结合在LLM的活性位点(Asn148、Leu149、Asp151、Asp208、His269、His271和His272)。值得注意的是,当前研究发现五个抗菌分子(BDE 27575101、BDE 33638168、BDE 33672484、LAS 51502073和BDE 25098678)比TUM甚至比早期报道的分子更具效力。因此,此处报道的抗菌分子可直接使用或开发用于抑制[具体内容缺失]的LLM。由Ramaswamy H. Sarma通讯。

相似文献

1
Promising antibacterials for LLM of using virtual screening, molecular docking, dynamics, and MMPBSA.利用虚拟筛选、分子对接、动力学和MMPBSA对大语言模型进行有前景的抗菌研究。
J Biomol Struct Dyn. 2023 Sep-Oct;41(15):7277-7289. doi: 10.1080/07391102.2022.2119278. Epub 2022 Sep 8.
2
Identification of potential inhibitors for LLM of : structure-based pharmacophore modeling, molecular dynamics, and binding free energy studies.用于[具体内容缺失]的潜在抑制剂的鉴定:基于结构的药效团建模、分子动力学和结合自由能研究。
J Biomol Struct Dyn. 2022;40(20):9833-9847. doi: 10.1080/07391102.2021.1936179. Epub 2021 Jun 7.
3
Potential inhibitors of FemC to combat : virtual screening, molecular docking, dynamics simulation, and MM-PBSA analysis.对抗 FemC 的潜在抑制剂:虚拟筛选、分子对接、动力学模拟和 MM-PBSA 分析。
J Biomol Struct Dyn. 2023 Dec;41(20):10495-10506. doi: 10.1080/07391102.2022.2157328. Epub 2022 Dec 16.
4
Computational investigation of potent inhibitors against YsxC: structure-based pharmacophore modeling, molecular docking, molecular dynamics, and binding free energy.针对YsxC的强效抑制剂的计算研究:基于结构的药效团建模、分子对接、分子动力学和结合自由能
J Biomol Struct Dyn. 2023 Feb;41(3):930-941. doi: 10.1080/07391102.2021.2015446. Epub 2021 Dec 16.
5
Promising antivirals for PLpro of SARS-CoV-2 using virtual screening, molecular docking, dynamics, and MMPBSA.使用虚拟筛选、分子对接、动力学和 MMPBSA 研究 SARS-CoV-2 的 PLpro 的有前途的抗病毒药物。
J Biomol Struct Dyn. 2023 Jul;41(10):4650-4666. doi: 10.1080/07391102.2022.2071340. Epub 2022 May 5.
6
Biochemical characterization and structure-based screening of potent inhibitor molecules against the 1 cys peroxiredoxin of bacterioferritin comigratory protein family from .来自[具体来源]的细菌铁蛋白共迁移蛋白家族1型半胱氨酸过氧化物酶的生化特性及基于结构的强效抑制剂分子筛选
J Biomol Struct Dyn. 2023 Jul-Aug;41(12):5776-5788. doi: 10.1080/07391102.2022.2096118. Epub 2022 Jul 9.
7
In-silico functional and structural annotation of hypothetical protein from Klebsiella pneumonia: A potential drug target.肺炎克雷伯菌假定蛋白的计算机功能和结构注释:一个潜在的药物靶点。
J Mol Graph Model. 2022 Nov;116:108262. doi: 10.1016/j.jmgm.2022.108262. Epub 2022 Jun 30.
8
Molecular docking, dynamics simulation and pharmacokinetic studies of essential oil metabolites as inhibitors of .精油代谢产物作为. 抑制剂的分子对接、动力学模拟和药代动力学研究。
J Biomol Struct Dyn. 2023 Nov;41(19):9245-9255. doi: 10.1080/07391102.2022.2145371. Epub 2022 Nov 14.
9
and structural investigation of sulfonamides targeting VraSR two component system in methicillin-resistant .针对耐甲氧西林金黄色葡萄球菌中VraSR双组分系统的磺胺类药物的结构研究
J Biomol Struct Dyn. 2024 Feb 6:1-21. doi: 10.1080/07391102.2024.2309679.
10
Structure-Based Identification of Potential Drugs Against FmtA of Staphylococcus aureus: Virtual Screening, Molecular Dynamics, MM-GBSA, and QM/MM.基于结构的金黄色葡萄球菌FmtA潜在药物鉴定:虚拟筛选、分子动力学、MM-GBSA和QM/MM
Protein J. 2021 Apr;40(2):148-165. doi: 10.1007/s10930-020-09953-6. Epub 2021 Jan 9.

引用本文的文献

1
An integrated computational approach towards novel drugs discovery against polyketide synthase 13 thioesterase domain of Mycobacterium tuberculosis.一种针对结核分枝杆菌聚酮合酶 13 硫酯酶结构域的新型药物发现的综合计算方法。
Sci Rep. 2023 Apr 28;13(1):7014. doi: 10.1038/s41598-023-34222-8.