pHisPred: a tool for the identification of histidine phosphorylation sites by integrating amino acid patterns and properties

pHisPred: a tool for the identification of histidine phosphorylation sites by integrating amino acid patterns and properties

Abstract Background Protein histidine phosphorylation (pHis) plays critical roles in prokaryotic signal transduction pathways and various eukaryotic cellular processes. It is estimated to account for 6–10% of the phosphoproteome, however only hundreds of pHis sites have been discovered to date. Due...

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Bibliographic Details
Main Authors: Jian Zhao, Minhui Zhuang, Jingjing Liu, Meng Zhang, Cong Zeng, Bin Jiang, Jing Wu, Xiaofeng Song
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Bioinformatics
Subjects:
Histidine phosphorylation
Phosphohistidine site
Machine learning
pHis prediction
pHisPred
Online Access:https://doi.org/10.1186/s12859-022-04938-x

Internet

https://doi.org/10.1186/s12859-022-04938-x

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