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SAMP:通过基于比例分割氨基酸组成的集体学习模型识别抗菌

Junxi Feng1, Mengtao Sun2, Cong Liu3

  • 1Department of Biostatistics, Harvard School of Public Health, Boston, MA, United States, 02115.

bioRxiv : the preprint server for biology
|May 7, 2024
PubMed
概括

耐药性感染构成重大威胁,需要使用新型抗生素. 一个新的计算模型,SAMP,通过利用先进的序列特征来提高预测准确度来增强抗菌 (AMP) 的发现.

关键词:
抗微生物是一种抗微生物.组合学习学习 组合学习比例分离的氨基酸组成比例的氨基酸组成.随机投影的投影是一个随机投影.这就是SAMP的SAMP.

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