文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

综合消减基因组学和基于结构的方法揭示利什曼原虫属的治疗药物靶点。

Integrated subtractive genomics and structure-based approach to unravel the therapeutic drug target of Leishmania species.

机构信息

Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam, India.

出版信息

Arch Microbiol. 2024 Sep 19;206(10):408. doi: 10.1007/s00203-024-04118-w.


DOI:10.1007/s00203-024-04118-w
PMID:39299989
Abstract

Leishmaniasis is a complex vector-borne disease caused by intracellular protozoan parasites of the Leishmania genus. It presents a significant public health challenge in tropical and subtropical regions globally. As resistance to treatment increases, managing and controlling Leishmaniasis becomes more challenging, necessitating innovative approaches. To address this challenge, our study utilized subtractive genomics and structure-based approaches to identify common drug targets and combat antimicrobial resistance (AMR) across five Leishmania species strains. The subtractive genomics approach unraveled Glutamate Dehydrogenase (GDH) as a promising drug target for treating Leishmania infections. The investigation considered established methodologies observed in analogous studies, orthologous group, and druggability tests. Multiple sequence alignment revealed conserved sequences in GDH, while phylogenetic tree analysis provided insights into the evolutionary origin and close relationships of GDH across Leishmania species. Conserved sequences in GDH along with its function in pathogenicity provided insights into the close relationships of GDH across Leishmania species. Using a structure-based approach, our study showed the molecular interactions between GDH and three ligands-Bithionol, GW5074, and Hexachlorophene-through molecular docking and 100 ns molecular dynamics (MD) simulations. GW5074 exhibited a significant affinity for GDH, as indicated by stable RMSD values, a more compact conformation, and a higher number of hydrogen bonds than Bithionol. MMPBSA analysis confirmed the superior binding energy of the GW5074-GDH complex, emphasizing its potential as a potent ligand for drug development. This comprehensive analysis identified GW5074 as a promising candidate for inhibiting GDH activities in Leishmania species, contributing to the development of effective therapeutics against Leishmania infections.

摘要

利什曼病是一种由利什曼原虫属的细胞内原生动物寄生虫引起的复杂媒介传播疾病。它在全球热带和亚热带地区构成了重大的公共卫生挑战。随着治疗耐药性的增加,管理和控制利什曼病变得更加具有挑战性,需要创新方法。为了应对这一挑战,我们的研究利用消减基因组学和基于结构的方法来鉴定五个利什曼物种菌株共有的药物靶点,以对抗抗菌药物耐药性(AMR)。消减基因组学方法揭示了谷氨酸脱氢酶(GDH)是治疗利什曼感染的有前途的药物靶点。该研究考虑了类似研究中观察到的既定方法、直系同源群和可药性测试。多重序列比对显示 GDH 中有保守序列,而系统发育树分析提供了 GDH 在利什曼物种中的进化起源和密切关系的见解。GDH 中的保守序列及其在致病性中的作用提供了 GDH 在利什曼物种中的密切关系的见解。我们的研究使用基于结构的方法,通过分子对接和 100ns 分子动力学(MD)模拟显示了 GDH 与三种配体-Bithionol、GW5074 和 Hexachlorophene-之间的分子相互作用。GW5074 与 GDH 之间表现出显著的亲和力,这表现在稳定的 RMSD 值、更紧凑的构象和比 Bithionol 更多的氢键上。MMPBSA 分析证实了 GW5074-GDH 复合物具有更高的结合能,强调了其作为药物开发的潜在有效配体的潜力。这项综合分析确定了 GW5074 是抑制利什曼物种中 GDH 活性的有前途的候选药物,有助于开发针对利什曼感染的有效治疗方法。

相似文献

[1]
Integrated subtractive genomics and structure-based approach to unravel the therapeutic drug target of Leishmania species.

Arch Microbiol. 2024-9-19

[2]
High-throughput prioritization of target proteins for development of new antileishmanial compounds.

Int J Parasitol Drugs Drug Resist. 2024-8

[3]
Drug search for leishmaniasis: a virtual screening approach by grid computing.

J Comput Aided Mol Des. 2016-7

[4]
Biochemical and structural characterization of Plasmodium falciparum glutamate dehydrogenase 2.

Mol Biochem Parasitol. 2012-5

[5]
Novel inhibitors complexed with glutamate dehydrogenase: allosteric regulation by control of protein dynamics.

J Biol Chem. 2009-8-21

[6]
Structural and evolutionary analysis of Leishmania Alba proteins.

Mol Biochem Parasitol. 2017-10

[7]
Mechanistic insights into mode of actions of novel oligopeptidase B inhibitors for combating leishmaniasis.

J Mol Model. 2014-3

[8]
Py-CoMFA, docking, and molecular dynamics simulations of Leishmania (L.) amazonensis arginase inhibitors.

Sci Rep. 2024-5-21

[9]
Insights about resveratrol analogs against trypanothione reductase of : Molecular modeling, computational docking and antileishmanial studies.

J Biomol Struct Dyn. 2018-12-5

[10]
An in silico approach in identification of drug targets in Leishmania: A subtractive genomic and metabolic simulation analysis.

Parasitol Int. 2019-4

引用本文的文献

[1]
Subtractive genomics and drug repurposing strategies for targeting : insights from molecular docking and dynamics simulations.

Front Microbiol. 2025-3-18

本文引用的文献

[1]
Non-covalent binding interaction of bioactive coumarin esculetin with calf thymus DNA and yeast transfer RNA: A detailed investigation to decipher the binding affinities, binding location, interacting forces and structural alterations at a molecular level.

Int J Biol Macromol. 2024-2

[2]
Molecular dynamics and simulation analysis against superoxide dismutase (SOD) target of with secondary metabolites from recognized by genome mining approach.

Saudi J Biol Sci. 2023-9

[3]
From Infection to Death: An Overview of the Pathogenesis of Visceral Leishmaniasis.

Pathogens. 2023-7-24

[4]
Computational multi-target approach to target essential enzymes of Leishmania donovani using comparative molecular dynamic simulations and MMPBSA analysis.

Phytochem Anal. 2023-10

[5]
Molecular docking and simulation studies against nucleoside diphosphate kinase (NDK) of with secondary metabolite identified by genome mining from .

J Biomol Struct Dyn. 2023

[6]
Deciphering antiviral efficacy of malaria box compounds against malaria exacerbating viral pathogens- Epstein Barr virus and SARS-CoV-2, an study.

Med Drug Discov. 2022-12

[7]
Quorum Quenching: A Drug Discovery Approach Against Pseudomonas aeruginosa.

Microbiol Res. 2022-11

[8]
Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.

PLoS One. 2022

[9]
Comparative Metabolic Pathways Analysis and Subtractive Genomics Profiling to Prioritize Potential Drug Targets Against .

Front Microbiol. 2022-2-10

[10]
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.

Nucleic Acids Res. 2022-1-7

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索