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PhosF3C: A Feature Fusion Architecture with Fine-Tuned Protein Language Model and Conformer for prediction of general phosphorylation site
Yuhuan Liu
, Haitian Zhong
, Jixiu Zhai
,
Xueying Wang
*
,
Tianchi LU
*
*
Corresponding author for this work
Department of Computer Science
Research output
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Working Papers
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Dive into the research topics of 'PhosF3C: A Feature Fusion Architecture with Fine-Tuned Protein Language Model and Conformer for prediction of general phosphorylation site'. Together they form a unique fingerprint.
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Biochemistry, Genetics and Molecular Biology
Feature Extraction
100%
Protein Language Model
100%
phosphorylation
100%
Protein Phosphorylation
50%
Posttranslational Modification
50%
Surface Charge
50%
Hydrophobicity
50%
Protein Property
50%
Isoelectric Point
50%
Computer Science
Language Modeling
100%
Feature Fusion
100%
Large Language Model
100%
Feature Extraction
66%
Computational Resource
33%
local feature
33%
Prediction Accuracy
33%
Interpretability
33%
Global Feature
33%
Art Performance
33%
Copyright Holder
33%