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m6A-TCPred:使用机器学习方法预测组织保存的人类m6A站点的Web服务器

Gang Tu1, Xuan Wang2,3, Rong Xia4

  • 1Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.

BMC bioinformatics
|March 26, 2024
PubMed
概括

研究人员开发了m6A-TCPred,这是一种用于识别组织保存的N6-甲基氨酸 (m6A) 位点的工具. 这种计算方法在23个人类组织中区分了保存和非保存的m6A残留物.

关键词:
基因本体学是基因的本体学.机器学习是机器学习.支持矢量机器的支持矢量机器.网络服务器的Web服务器.m6A 修改的修改

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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 analyses the...