Hao-Dong Xu

According to our database, Hao-Dong Xu authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep learning for detecting and elucidating human T-cell leukemia virus type 1 integration in the human genome.

Hao-Dong Xu, Johnathan Jia, Hyun-Hwan Jeong, Zhongming Zhao

Patterns, February, 2023

2022

NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-cell Epitopes.

Hao-Dong Xu, Zhongming Zhao

Genom. Proteom. Bioinform., October, 2022

2021

KinaseMD: kinase mutations and drug response database.

Ruifeng Hu, Hao-Dong Xu, Peilin Jia, Zhongming Zhao

Nucleic Acids Res., 2021

mUSP: a high-accuracy map of the in situ crosstalk of ubiquitylation and SUMOylation proteome predicted via the feature enhancement approach.

Hao-Dong Xu, Ru-Ping Liang, You-Gan Wang, Jian-Ding Qiu

Briefings Bioinform., 2021

Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning.

Hao-Dong Xu, Peilin Jia, Zhongming Zhao

Briefings Bioinform., 2021

2020

GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins.

Chenwei Wang, Hao-Dong Xu, Shaofeng Lin, Wankun Deng, Jiaqi Zhou, Ying Zhang, Ying Shi, Di Peng, Yu Xue

Genom. Proteom. Bioinform., 2020

HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction.

Wanshan Ning, Hao-Dong Xu, Peiran Jiang, Han Cheng, Wankun Deng, Yaping Guo, Yu Xue

Genom. Proteom. Bioinform., 2020

6mA-Finder: a novel online tool for predicting DNA N6-methyladenine sites in genomes.

Hao-Dong Xu, Ruifeng Hu, Peilin Jia, Zhongming Zhao

Bioinform., 2020

2019

iEKPD 2.0: an update with rich annotations for eukaryotic protein kinases, protein phosphatases and proteins containing phosphoprotein-binding domains.

Yaping Guo, Di Peng, Jiaqi Zhou, Shaofeng Lin, Chenwei Wang, Wanshan Ning, Hao-Dong Xu, Wankun Deng, Yu Xue

Nucleic Acids Res., 2019

2018

Predicting lysine-malonylation sites of proteins using sequence and predicted structural features.

Ghazaleh Taherzadeh, Yuedong Yang, Hao-Dong Xu, Yu Xue, Alan Wee-Chung Liew, Yaoqi Zhou

J. Comput. Chem., 2018

PTMD: A Database of Human Disease-associated Post-translational Modifications.

Hao-Dong Xu, Yongbo Wang, Shaofeng Lin, Wankun Deng, Di Peng, Qinghua Cui, Yu Xue

Genom. Proteom. Bioinform., 2018

2017

Computational prediction of species-specific malonylation sites via enhanced characteristic strategy.

Li-na Wang, Shaoping Shi, Hao-Dong Xu, Ping-Ping Wen, Jian-Ding Qiu

Bioinform., 2017

2016

Accurate <i>in silico</i> prediction of species-specific methylation sites based on information gain feature optimization.

Ping-Ping Wen, Shaoping Shi, Hao-Dong Xu, Li-na Wang, Jian-Ding Qiu

Bioinform., 2016

2015

SuccFind: a novel succinylation sites online prediction tool via enhanced characteristic strategy.

Hao-Dong Xu, Shao-Ping Shi, Ping-Ping Wen, Jian-Ding Qiu

Bioinform., 2015

Proteomic analysis and prediction of human phosphorylation sites in subcellular level reveal subcellular specificity.

Xiang Chen, Shao-Ping Shi, Sheng-Bao Suo, Hao-Dong Xu, Jian-Ding Qiu

Bioinform., 2015