Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones-Reference-Cited by-同舟云学术

Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones

Published:2020-08-14 Issue:8 Volume:16 Page:e1008106
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Clarelli Fabrizio^ORCID,Palmer Adam^ORCID,Singh Bhupender,Storflor Merete^ORCID,Lauksund Silje,Cohen Ted^ORCID,Abel Sören^ORCID,Abel zur Wiesch Pia^ORCID

Funder

Bill and Melinda Gates Foundation

Norges Forskningsråd

Helse Nord RHF

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference60 articles.

1. A dose-ranging trial to optimize the dose of rifampin in the treatment of tuberculosis;MJ Boeree;Am J Respir Crit Care Med,2015

2. The impact of dosing frequency on the efficacy of 10-day penicillin or amoxicillin therapy for streptococcal tonsillopharyngitis: A meta-analysis;AJ Lan;Pediatrics,2000

3. Prospective open randomized study comparing efficacies and safeties of a 3-day course of azithromycin and a 10-day course of erythromycin in children with community-acquired acute lower respiratory tract infections;JJ Roord;Antimicrob Agents Chemother,1996

4. Results of a standardised regimen for multidrug-resistant tuberculosis in Bangladesh;A Van Deun;Int J Tuberc Lung Dis,2004

5. WHO. The shorter MDR-TB regimen. http://wwwwhoint/tb/Short_MDR_regimen_factsheetpdf?ua=1. 2016.

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The pharmacokinetic–pharmacodynamic modelling framework as a tool to predict drug resistance evolution;Microbiology;2023-07-31

2. Residence Times for Femtomolar and Picomolar Inhibitors of MTANs;Biochemistry;2023-05-19

3. Within-host evolutionary dynamics of antimicrobial quantitative resistance;Mathematical Modelling of Natural Phenomena;2023

4. Predicting drug–target binding affinity through molecule representation block based on multi-head attention and skip connection;Briefings in Bioinformatics;2022-10-31

5. Amoxicillin-loaded multilayer pullulan-based nanofibers maintain long-term antibacterial properties with tunable release profile for topical skin delivery applications;International Journal of Biological Macromolecules;2022-08