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二次代谢物预测阴性菌:基于模型的化学信息学方法

James Young1, Taufiq Nawaz1, Liping Gu1

  • 1Department of Biology and Microbiology, College of Natural Sciences, South Dakota State University, Brookings, SD 57007, USA.

Metabolites
|September 26, 2025
PubMed
概括

这项研究通过分析它们的二次代谢物来识别二氧化菌,为自肥作物和可持续农业铺平了道路. 预测模型在识别这些固有机体时达到88%的准确性.

关键词:
生物标志物生物标志物化学相似性 化学相似性化学信息学 化学信息学亚热型的蓝藻细菌固化的方法 固化的方法预测建模预测建模二次代谢产物二次代谢产物

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Cyanobacteria are a diverse group of oxygenic, phototrophic bacteria that played a pivotal role in converting Earth’s atmosphere from anoxic to oxygen-rich billions of years ago. They exhibit remarkable morphological diversity, ranging from unicellular forms to filamentous types, with cell sizes varying between 0.5 μm and 100 μm. Cyanobacteria are classified into five groups: Chroococcales (unicellular, dividing by binary fission), Pleurocapsales (unicellular, dividing by...
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