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Updated: Jul 16, 2026

Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection
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Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection

Published on: September 27, 2016

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对抗致病性E.E.的氨基糖化物进行药理学研究. coli通过蒙特卡洛模拟进行了模拟

Eon-Bee Lee1, Kyubae Lee2

  • 1Laboratory of Veterinary Pharmacokinetics and Pharmacodynamics, College of Veterinary Medicine, Kyungpook National University, Daegu 41566, Republic of Korea.

Pharmaceuticals (Basel, Switzerland)
|January 23, 2024
PubMed
概括

这项研究结合了实验数据和数学建模,以评估氨基糖类抗生素对抗生素耐药性大肠杆菌 (大肠杆菌) 的抗生素. 研究揭示了不同的药理动力学最小抑制度 (zMIC) 值,提供了针对大肠杆菌感染的新策略.

关键词:
美国大肠杆菌 (E. coli).蒙特卡洛模拟的蒙特卡洛模拟氨基甘油化是一种氨基甘油化.抗微生物耐药性 抗微生物耐药性药学动力学功能 药学动力学功能

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