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6mA-StackingCV:一种改进的堆叠组合模型,用于预测DNAN6-甲基氨酸位点

Guohua Huang1,2, Xiaohong Huang3, Wei Luo3

  • 1School of Information Technology and Administration, Hunan University of Finance and Economics, Changsha, China. guohuahhn@163.com.

BioData mining
|November 28, 2023
PubMed
概括

我们开发了6mA-StackingCV,这是一种用于预测DNAN6-腺素甲基化 (6mA) 位点的新型计算模型. 这种堆叠组合方法实现了最先进的性能,并为研究人员提供了灵活的Web应用程序.

关键词:
在6mA的6mA.通过交叉验证验证.通过DNA甲基化.组合学习学习 组合学习超级学习 (Meta-learning) 是一种学习方式.

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Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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