A Hybrid Deep Learning Model for Predicting Protein Hydroxylation Sites

A Hybrid Deep Learning Model for Predicting Protein Hydroxylation Sites

Protein hydroxylation is one type of post-translational modifications (PTMs) playing critical roles in human diseases. It is known that protein sequence contains many uncharacterized residues of proline and lysine. The question that needs to be answered is: which residue can be hydroxylated, and whi...

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Bibliographic Details
Main Authors: Haixia Long, Bo Liao, Xingyu Xu, Jialiang Yang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:International Journal of Molecular Sciences
Subjects:
protein post-translational modification (PTM)
hydroxylation sites
convolutional neural network (CNN)
long short-term memory network (LSTM)
iHyd-PseAAC
iHyd-PseCp
Online Access:http://www.mdpi.com/1422-0067/19/9/2817

Internet

http://www.mdpi.com/1422-0067/19/9/2817

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