Predicting S-nitrosylation proteins and sites by fusing multiple features

DOI10.3934/MBE.2021450zbMath1501.92100OpenAlexW3215042309MaRDI QIDQ2092265

Jian-Hua Jia, Wang-Ren Qiu, Meng-Yue Guan, Qian-Kun Wang, Xuan Xiao

Publication date: 2 November 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doaj.org/article/8125e5cdbe6d4b8e9153fb38707c867a

zbMATH Keywords

identificationrandom forestpost-translational modificationmultiple featuresS-nitrosylation

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20)

Uses Software

• XGBoost
• iSNO-PseAAC
• iPhos-PseEvo
• iKcr-PseEns

Cites Work

• Unnamed Item
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• Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC
• Regularization and Variable Selection Via the Elastic Net
• Random forests

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