Suppr超能文献

药物化学家优化抗结核药物先导化合物的独特挑战

A medicinal chemists' guide to the unique difficulties of lead optimization for tuberculosis.

机构信息

Public Health Research Institute, New Jersey Medical School, Newark, NJ, United States.

出版信息

Bioorg Med Chem Lett. 2013 Sep 1;23(17):4741-50. doi: 10.1016/j.bmcl.2013.07.006. Epub 2013 Jul 12.

Abstract

Tuberculosis is a bacterial disease that predominantly affects the lungs and results in extensive tissue pathology. This pathology contributes to the complexity of drug development as it presents discrete microenvironments within which the bacterium resides, often under conditions where replication is limited and intrinsic drug susceptibility is low. This consolidated pathology also results in impaired vascularization that limits access of potential lead molecules to the site of infection. Translating these considerations into a target-product profile to guide lead optimization programs involves implementing unique in vitro and in vivo assays to maximize the likelihood of developing clinically meaningful candidates.

摘要

结核病是一种细菌性疾病,主要影响肺部,并导致广泛的组织病理学改变。这种病理学改变增加了药物开发的复杂性,因为它存在于细菌所处的离散微环境中,这些微环境通常在细菌复制受限且固有药物敏感性较低的情况下存在。这种合并的病理学改变还导致血管生成受损,限制了潜在先导分子到达感染部位的机会。将这些考虑因素转化为指导先导优化计划的目标产品特性,需要实施独特的体外和体内测定方法,以最大限度地提高开发具有临床意义候选药物的可能性。

相似文献

2
Improving the tuberculosis drug development pipeline.改善结核病药物研发流程。
Chem Biol Drug Des. 2015 Nov;86(5):951-60. doi: 10.1111/cbdd.12549. Epub 2015 Mar 28.
3
Could Killing Bacterial Subpopulations Hit Tuberculosis out of the Park?消灭细菌亚群能彻底攻克结核病吗?
J Med Chem. 2016 Jul 14;59(13):6025-6. doi: 10.1021/acs.jmedchem.6b00875. Epub 2016 Jun 20.
5
Targeting tuberculosis: a glimpse of promising drug targets.靶向结核病:有前景的药物靶点一瞥。
Mini Rev Med Chem. 2012 Mar;12(3):187-201. doi: 10.2174/1389557511209030187.
6
Current challenges in drug discovery for tuberculosis.结核病药物研发中的当前挑战。
Expert Opin Drug Discov. 2017 Jan;12(1):1-4. doi: 10.1080/17460441.2017.1255604. Epub 2016 Nov 11.
10
The relevance of persisters in tuberculosis drug discovery.潜伏者在结核病药物发现中的相关性。
Microbiology (Reading). 2019 May;165(5):492-499. doi: 10.1099/mic.0.000760. Epub 2019 Feb 18.

引用本文的文献

2
Research in the Field of Drug Design and Development.药物设计与开发领域的研究
Pharmaceuticals (Basel). 2023 Sep 11;16(9):1283. doi: 10.3390/ph16091283.
7
Machine Learning Models for Activity: Prediction and Target Visualization.活动的机器学习模型:预测和目标可视化。
Mol Pharm. 2022 Feb 7;19(2):674-689. doi: 10.1021/acs.molpharmaceut.1c00791. Epub 2021 Dec 29.
8
Tuberculosis Drug Discovery: A Decade of Hit Assessment for Defined Targets.结核病药物发现:针对明确靶点的十年评估。
Front Cell Infect Microbiol. 2021 Mar 15;11:611304. doi: 10.3389/fcimb.2021.611304. eCollection 2021.
9
Random Forest Model Prediction of Compound Oral Exposure in the Mouse.小鼠复合口服暴露的随机森林模型预测
ACS Pharmacol Transl Sci. 2021 Jan 26;4(1):338-343. doi: 10.1021/acsptsci.0c00197. eCollection 2021 Feb 12.
10
Handling the Hurdles on the Way to Anti-tuberculosis Drug Development.应对抗结核药物研发道路上的障碍
Front Chem. 2020 Nov 19;8:586294. doi: 10.3389/fchem.2020.586294. eCollection 2020.

本文引用的文献

1
The immune response in tuberculosis.结核的免疫反应。
Annu Rev Immunol. 2013;31:475-527. doi: 10.1146/annurev-immunol-032712-095939.
8
Spontaneous latency in a rabbit model of pulmonary tuberculosis.兔结核病模型中的自然潜伏。
Am J Pathol. 2012 Nov;181(5):1711-24. doi: 10.1016/j.ajpath.2012.07.019. Epub 2012 Sep 5.

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验