In silico method and bioactivity evaluation to discover novel antimicrobial agents targeting FtsZ protein: Machine learning, virtual screening and antibacterial mechanism study-Reference-Cited by-同舟云学术

In silico method and bioactivity evaluation to discover novel antimicrobial agents targeting FtsZ protein: Machine learning, virtual screening and antibacterial mechanism study

Published:2024-07-23 Issue: Volume: Page:
ISSN:0028-1298
Container-title:Naunyn-Schmiedeberg's Archives of Pharmacology
language:en
Short-container-title:Naunyn-Schmiedeberg's Arch Pharmacol

Author:

Wang Linxiao,Xie Zhouling,Ruan Wei,Lan Feixiang,Qin Qi,Tu Yuanbiao,Zhu Wufu,Zhao Jing,Zheng Pengwu

Funder

Jiangxi Province Science Foundation for Youths

Science and Technology Research Foundation of Jiangxi Education Department

Ph.D. Startup Foundation of Jiangxi Science and Technology Normal University

Open Foundation of Jiangxi Provincial Key Laboratory of Drug Design and Evaluation

the Undergraduate Research Foundation of Jiangxi Science and Technology Normal University

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00210-024-03276-4.pdf

Reference46 articles.

1. Altenburg J, de Graaff CS, van der Werf TS et al (2011) Immunomodulatory Effects of Macrolide Antibiotics - Part 2: Advantages and Disadvantages of Long-Term. Low-Dose Macrolide Ther Respi 81(1):75–87. https://doi.org/10.1159/000320320

2. Andreu JM, Huecas S, Araujo-Bazan L et al (2022) The Search for Antibacterial Inhibitors Targeting Cell Division Protein FtsZ at Its Nucleotide and Allosteric Binding Sites. Biomed 10(8). https://doi.org/10.3390/biomedicines10081825

3. Barrows JM, Goley ED (2021) FtsZ dynamics in bacterial division: What, how, and why? Curr Opin Cell Biol 68:163–172. https://doi.org/10.1016/j.ceb.2020.10.013

4. Belluomini L, Caldart A, Avancini A et al. (2021) Infections and Immunotherapy in Lung Cancer: A Bad Relationship? Int J Mol Sci 22(1). https://doi.org/10.3390/ijms22010042

5. Berthold MR, Cebron N, Dill F et al (2008) KNIME: the Konstanz information miner 319–326. https://doi.org/10.1007/978-3-540-78246-9_38