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Updated: Jul 2, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

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使用混合深度神经网络预测circRNA-RBP结合点

Liwei Liu1,2, Yixin Wei1, Zhebin Tan3

  • 1College of Science, Dalian Jiaotong University, Dalian, 116028, China.

Interdisciplinary sciences, computational life sciences
|February 21, 2024
PubMed
概括

一个新的计算模型,circ-FHN,只使用circRNA序列,准确地预测循环RNA- (circRNA-) RNA结合蛋白 (RBP) 相互作用. 这种方法克服了以前方法的局限性,采用先进的特征提取和混合深度学习架构.

关键词:
这是一个巨大的BIGRU.在美国,CNN是CNN.深度学习是一种深度学习.风险投资计划 (RBPs) 是一个.环绕RNAss 的时间.

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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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