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Updated: May 1, 2026

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
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通过机器学习,GspE的递归动态使得能够识别抑制剂

Aliza Naz1, Fouzia Gul1, Syed Sikander Azam1

  • 1Computational Biology Lab, National Center for Bioinformatics (NCB), Quaid-i-Azam University, Islamabad 45320, Pakistan.

Computational biology and chemistry
|October 6, 2024
PubMed
概括

研究人员确定了一种有前途的候选药物,Asinex-BAS00263070-28551,用于抑制GspE ATPase,GspE ATPase是有关病原体Achromobacter xylosoxidans的II型分泌系统的关键组成部分.

关键词:
在MDR中使用MDR.机器学习 机器学习分子对接是分子对接.分子动态模拟的分子动态模拟.随机的森林随机的森林第二种类型的分泌系统.

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