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Updated: Sep 9, 2025

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DeepSEA:对抗微生物耐药性蛋白质进行注释的无对齐可解释的方法

Tiago Cabral Borelli1,2,3, Alexandre Rossi Paschoal4,5, Ricardo Roberto da Silva6,7

  • 1Computational Chemical Biology Laboratory, Department of BioMolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, 14040-900, Brazil.

BMC bioinformatics
|September 1, 2025
PubMed
概括

抗菌药物耐药性 (AMR) 构成了全球严重的健康威胁. 一个新的深度学习模型准确地识别了AMR蛋白质,优于传统方法,并提供了对抗性机制的洞察力.

关键词:
抗菌药物耐药性深度学习模型可解释性蛋白质注释

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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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