Prediction of Nitrated Tyrosine Residues in Protein Sequences by Extreme Learning Machine and Feature Selection Methods.

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作者： Lei,Chen ^[1] ; ShaoPeng,Wang ^[2] ; Yu-Hang,Zhang ^[3] ; Lai,Wei ^[1] ; XianLing,Xu ^[4] ; Tao,Huang ^[3] ; Yu-Dong,Cai ^[2]

作者单位： College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China. ^[1] School of Life Sciences, Shanghai University, Shanghai 200444, China. ^[2] Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, China. ^[3] Department of Computer Science, Guangdong AIB Polytechnic, Guangzhou 510507, Guangdong, China. ^[4]

关键词 Post-translational modification extreme learning machine incremental feature selection minimum redundancy maximum relevance nitrated tyrosine.

主题词氨基酸序列(Amino Acid Sequence);计算生物学(Computational Biology);数据库, 蛋白质(Databases, Protein);硝酸盐类(Nitrates);蛋白质加工, 转译后(Protein Processing, Post-Translational);酪氨酸(Tyrosine)

DOI 10.2174/1386207321666180531091619

PMID 29848272

发布时间 2019-11-27

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