• 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

用于分枝杆菌感染的基因组学、计算生物学与药物发现:对抗耐药性的出现

Genomics, Computational Biology and Drug Discovery for Mycobacterial Infections: Fighting the Emergence of Resistance.

作者信息

Munir Asma, Vedithi Sundeep Chaitanya, Chaplin Amanda K, Blundell Tom L

机构信息

Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.

出版信息

Front Genet. 2020 Sep 4;11:965. doi: 10.3389/fgene.2020.00965. eCollection 2020.

DOI:10.3389/fgene.2020.00965
PMID:33101362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7498718/
Abstract

Tuberculosis (TB) and leprosy are mycobacterial infections caused by and respectively. These diseases continue to be endemic in developing countries where the cost of new medicines presents major challenges. The situation is further exacerbated by the emergence of resistance to many front-line antibiotics. A priority now is to design new antimycobacterials that are not only effective in combatting the diseases but are also less likely to give rise to resistance. In both these respects understanding the structure of drug targets in and is crucial. In this review we describe structure-guided approaches to understanding the impacts of mutations that give rise to antimycobacterial resistance and the use of this information in the design of new medicines.

摘要

结核病(TB)和麻风病分别由结核分枝杆菌和麻风分枝杆菌引起,属于分枝杆菌感染。在发展中国家,这些疾病仍然流行,新药成本构成了重大挑战。对许多一线抗生素产生耐药性的情况进一步加剧了这一局面。当前的一个优先事项是设计新的抗分枝杆菌药物,这些药物不仅能有效对抗疾病,而且产生耐药性的可能性较小。在这两个方面,了解结核分枝杆菌和麻风分枝杆菌中药物靶点的结构至关重要。在本综述中,我们描述了基于结构的方法,以了解导致抗分枝杆菌耐药性的突变的影响,以及如何在新药设计中利用这些信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/0a8bcb26720e/fgene-11-00965-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/adc3aa723b8a/fgene-11-00965-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/a51b36850377/fgene-11-00965-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/8f344ed9ea23/fgene-11-00965-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/0a8bcb26720e/fgene-11-00965-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/adc3aa723b8a/fgene-11-00965-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/a51b36850377/fgene-11-00965-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/8f344ed9ea23/fgene-11-00965-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3148/7498718/0a8bcb26720e/fgene-11-00965-g004.jpg

相似文献

1
Genomics, Computational Biology and Drug Discovery for Mycobacterial Infections: Fighting the Emergence of Resistance.用于分枝杆菌感染的基因组学、计算生物学与药物发现:对抗耐药性的出现
Front Genet. 2020 Sep 4;11:965. doi: 10.3389/fgene.2020.00965. eCollection 2020.
2
[Development of antituberculous drugs: current status and future prospects].[抗结核药物的研发:现状与未来前景]
Kekkaku. 2006 Dec;81(12):753-74.
3
Editorial: Current status and perspective on drug targets in tubercle bacilli and drug design of antituberculous agents based on structure-activity relationship.社论:结核杆菌药物靶点的现状与展望以及基于构效关系的抗结核药物设计
Curr Pharm Des. 2014;20(27):4305-6. doi: 10.2174/1381612819666131118203915.
4
[Prospects for development of new antituberculous drugs].[新型抗结核药物的发展前景]
Kekkaku. 2002 Aug;77(8):573-84.
5
Insights on Efflux Pumps and Their Implications in Drug Resistance and Virulence.关于外排泵及其在耐药性和毒力方面的影响的见解。
Front Microbiol. 2018 Dec 13;9:3072. doi: 10.3389/fmicb.2018.03072. eCollection 2018.
6
Use of beta-lactam/beta-lactamase-inhibitor combinations as antimycobacterial agents.使用β-内酰胺/β-内酰胺酶抑制剂组合作为抗分枝杆菌药物。
Microbios. 1993;76(309):251-61.
7
Redox-guided small molecule antimycobacterials.氧化还原导向的小分子抗分枝杆菌化合物。
IUBMB Life. 2018 Sep;70(9):826-835. doi: 10.1002/iub.1867. Epub 2018 May 14.
8
[Utility of molecular biology in the microbiological diagnosis of mycobacterial infections].[分子生物学在分枝杆菌感染微生物诊断中的应用]
Enferm Infecc Microbiol Clin. 2008 Jul;26 Suppl 9:33-41. doi: 10.1016/s0213-005x(08)76539-x.
9
Tuberculosis结核病
10
The eradication of leprosy: molecular modeling techniques for novel drug discovery.麻风病的消除:新型药物发现的分子建模技术。
Expert Opin Drug Discov. 2013 Oct;8(10):1239-51. doi: 10.1517/17460441.2013.826188. Epub 2013 Aug 7.

引用本文的文献

1
Development of a Machine Learning-Based Prognostic Model for Hormone Receptor-Positive Breast Cancer Using Nine-Gene Expression Signature.使用九基因表达特征开发基于机器学习的激素受体阳性乳腺癌预后模型
World J Oncol. 2023 Oct;14(5):406-422. doi: 10.14740/wjon1700. Epub 2023 Sep 20.
2
Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach.使用链式分类器方法预测遗传疾病和疾病类型。
Genes (Basel). 2022 Dec 26;14(1):71. doi: 10.3390/genes14010071.
3
A CRISPR-guided mutagenic DNA polymerase strategy for the detection of antibiotic-resistant mutations in . .

本文引用的文献

1
Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in .通过计算饱和诱变预测RNA聚合酶β亚基中系统突变的结构后果。 (原文结尾处“in.”表述不完整,可能影响准确理解,以上译文根据现有内容尽量完善。)
Comput Struct Biotechnol J. 2020 Jan 17;18:271-286. doi: 10.1016/j.csbj.2020.01.002. eCollection 2020.
2
Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning.预测突变对蛋白质结构和相互作用的影响:SDM,一种统计方法,以及使用机器学习的 mCSM。
Protein Sci. 2020 Jan;29(1):247-257. doi: 10.1002/pro.3774. Epub 2019 Nov 25.
3
一种用于检测……中抗生素抗性突变的CRISPR引导的诱变DNA聚合酶策略
Mol Ther Nucleic Acids. 2022 Jul 12;29:354-367. doi: 10.1016/j.omtn.2022.07.004. eCollection 2022 Sep 13.
4
Applied Machine Learning Toward Drug Discovery Enhancement: Leishmaniases as a Case Study.应用机器学习促进药物发现:以利什曼病为例的研究。
Bioinform Biol Insights. 2022 Apr 22;16:11779322221090349. doi: 10.1177/11779322221090349. eCollection 2022.
5
Molecular Dynamics Simulations in Designing DARPins as Phosphorylation-Specific Protein Binders of ERK2.作为 ERK2 磷酸化特异性蛋白结合物的 DARPins 的设计中的分子动力学模拟。
Molecules. 2021 Jul 27;26(15):4540. doi: 10.3390/molecules26154540.
Mabellini: a genome-wide database for understanding the structural proteome and evaluating prospective antimicrobial targets of the emerging pathogen Mycobacterium abscessus.
马贝利尼数据库:一个用于理解结构蛋白质组并评估新兴病原体脓肿分枝杆菌潜在抗菌靶点的全基因组数据库。
Database (Oxford). 2019 Jan 1;2019(1). doi: 10.1093/database/baz113.
4
TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration.TDR 目标 6:通过密集的化学生物基因组数据整合推动人类病原体的药物发现。
Nucleic Acids Res. 2020 Jan 8;48(D1):D992-D1005. doi: 10.1093/nar/gkz999.
5
Identification and Characterization of Genetic Determinants of Isoniazid and Rifampicin Resistance in Mycobacterium tuberculosis in Southern India.印度南部结核分枝杆菌异烟肼和利福平耐药的遗传决定因素的鉴定和特征分析。
Sci Rep. 2019 Jul 16;9(1):10283. doi: 10.1038/s41598-019-46756-x.
6
MycoResistance: a curated resource of drug resistance molecules in Mycobacteria.抗真菌药物数据库:抗真菌药物耐药性相关基因及突变位点数据库
Database (Oxford). 2019 Jan 1;2019. doi: 10.1093/database/baz074.
7
Mycobacterium leprae's evolution and environmental adaptation.麻风分枝杆菌的进化与环境适应。
Acta Trop. 2019 Sep;197:105041. doi: 10.1016/j.actatropica.2019.105041. Epub 2019 May 30.
8
Mycobacterial genomics and structural bioinformatics: opportunities and challenges in drug discovery.分枝杆菌基因组学和结构生物信息学:药物发现中的机遇与挑战。
Emerg Microbes Infect. 2019;8(1):109-118. doi: 10.1080/22221751.2018.1561158.
9
DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability.DynaMut:预测突变对蛋白质构象、灵活性和稳定性的影响。
Nucleic Acids Res. 2018 Jul 2;46(W1):W350-W355. doi: 10.1093/nar/gky300.
10
LepVax, a defined subunit vaccine that provides effective pre-exposure and post-exposure prophylaxis of infection.LepVax是一种特定的亚单位疫苗,可在暴露前和暴露后提供有效的感染预防。
NPJ Vaccines. 2018 Mar 28;3:12. doi: 10.1038/s41541-018-0050-z. eCollection 2018.