Online Website for Phosphorylation Site Prediction
Phosphorylation site prediction is an important part of bioinformatics, primarily used to study the phosphorylation modification of proteins. It helps researchers understand protein functions and aids in disease diagnosis and treatment. Below are some common online sites for phosphorylation site prediction:
1. GPS (Group-based Prediction System)
GPS is a group-based prediction system that can predict protein phosphorylation sites.
NetPhos is a non-specific phosphorylation site prediction tool.
PhosphoPredict can predict phosphorylation sites for protein kinases such as PKA, PKC, and PKG.
Mussel uses machine learning methods to predict protein phosphorylation sites.
KinasePhos is a prediction tool based on support vector machines that can predict phosphorylation substrates and sites for protein kinases.
Phospho.ELM is a database of phosphorylation sites, providing a large amount of experimentally validated phosphorylation site data.
PredPhospho is a phosphorylation site prediction tool based on hidden Markov models.
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Phosphorylation quantitative proteomics research
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Histone post-translational modification analysis
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