DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features.
Jingxin XieLijun QuanXuejiao WangHongjie WuZhi JinDeng PanTaoning ChenTingfang WuQiang LyuPublished in: J. Chem. Inf. Model. (2023)
Keyphrases
- protein sequences
- deep learning
- amino acids
- protein families
- unsupervised feature learning
- protein structure
- amino acid sequences
- secondary structure
- experimentally determined
- structural motifs
- protein function
- predicting protein
- protein classification
- protein protein
- protein folding
- computational approaches
- machine learning
- protein structural
- feature vectors
- protein structure prediction
- physicochemical properties
- sequence alignment
- unsupervised learning
- protein secondary structure
- feature extraction
- psi blast
- interaction networks
- feature set
- natural language processing
- object detection
- remote homology detection