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A machine learning pipeline for predicting biogenic magnetic nanoparticle morphology from genoproteomic features

Oksana Gorobets Kyryl Khakhno Svitlana Gorobets

Magnetic Medicine2026,Vol.2Issue(1):P.22-33,12.
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Magnetic Medicine2026,Vol.2Issue(1):P.22-33,12.DOI:10.1016/j.magmed.2026.100063

A machine learning pipeline for predicting biogenic magnetic nanoparticle morphology from genoproteomic features

Oksana Gorobets 1Kyryl Khakhno 2Svitlana Gorobets2

作者信息

  • 1. National Technical University of Ukraine"Kyiv Polytechnic Institute",Faculty of Physics and Mathematics,Kyiv 03056,Ukraine
  • 2. National Technical University of Ukraine"Kyiv Polytechnic Institute",Faculty of Biotechnology and Biotechnics,Kyiv 03056,Ukraine
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摘要

关键词

Magnetotactic bacteria/Magnetosome/Biogenic magnetic nanoparticles/Machine learning/Genoproteomics/Biomineralization/Morphology prediction,synthetic biology

分类

生物科学

引用本文复制引用

Oksana Gorobets,Kyryl Khakhno,Svitlana Gorobets..A machine learning pipeline for predicting biogenic magnetic nanoparticle morphology from genoproteomic features[J].Magnetic Medicine,2026,2(1):P.22-33,12.

Magnetic Medicine

2950-5844

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