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对抗微生物发现的结构感知机器学习策略.

Mariana D C Aguilera-Puga1, Fabien Plisson2

  • 1Department of Biotechnology and Biochemistry, Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Irapuato Unit, 36824, Irapuato, Guanajuato, Mexico.

Scientific reports
|May 25, 2024
PubMed
概括

机器学习模型通过分析序列和结构来预测抗微生物的功能. 新模型克服了结构偏差,提高了对的作用机制分类的准确性.

关键词:
在AlphaFold2中,我们将使用AlphaFold2.可解释的机器学习过量采样过度采样的设计 的设计蛋白质结构预测 蛋白质结构预测结构性偏见是结构性的偏见.

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Antimicrobial Proteins01:23

Antimicrobial Proteins

Antimicrobial proteins are important components of the immune system. They aid the body in combating pathogens by either killing them directly or hindering their replication processes. Four main types of antimicrobial substances are interferons, the complement system, iron-binding proteins, and antimicrobial proteins.
Interferons
Interferons (IFNs) are proteins produced by lymphocytes, macrophages, and fibroblasts infected with viruses. While IFNs cannot prevent viruses from entering and...
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