Zhen Chen

According to our database, Zhen Chen authored at least 12 papers between 2011 and 2022.

Collaborative distances:

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

2022

<i>iFeatureOmega: </i> an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.

Zhen Chen, Xuhan Liu, Pei Zhao, Chen Li, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Chris Bain, Robin B. Gasser, Junzhou Li, Zuoren Yang, Xin Gao, Lukasz A. Kurgan, Jiangning Song

Nucleic Acids Res., 2022

PCfun: a hybrid computational framework for systematic characterization of protein complex function.

Varun S. Sharma, Andrea Fossati, Rodolfo Ciuffa, Marija Buljan, Evan G. Williams, Zhen Chen, Wenguang Shao, Patrick G. A. Pedrioli, Anthony W. Purcell, María Rodríguez Martínez, Jiangning Song, Matteo Manica, Ruedi Aebersold, Chen Li

Briefings Bioinform., 2022

2021

nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning.

Yong-Zi Chen, Zhuo-Zhi Wang, Yanan Wang, Guoguang Ying, Zhen Chen, Jiangning Song

Briefings Bioinform., 2021

2020

PROSPECT: A web server for predicting protein histidine phosphorylation sites.

Zhen Chen, Pei Zhao, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Geoffrey I. Webb, Abdelkader Baggag, Halima Bensmail, Jiangning Song

J. Bioinform. Comput. Biol., 2020

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences.

Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, Alexander Ian Smith, Geoffrey I. Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song

Briefings Bioinform., 2020

iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.

Zhen Chen, Pei Zhao, Fuyi Li, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Yan Zhu, David R. Powell, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou, Alexander Ian Smith, Roger J. Daly, Jian Li, Jiangning Song

Briefings Bioinform., 2020

Identification of Protein Lysine Crotonylation Sites by a Deep Learning Framework With Convolutional Neural Networks.

Yiming Zhao, Ningning He, Zhen Chen, Lei Li

IEEE Access, 2020

2019

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.

Zhen Chen, Xuhan Liu, Fuyi Li, Chen Li, Tatiana T. Marquez-Lago, André Leier, Tatsuya Akutsu, Geoffrey I. Webb, Dakang Xu, Alexander Ian Smith, Lei Li, Kuo-Chen Chou, Jiangning Song

Briefings Bioinform., 2019

2018

Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites.

Zhen Chen, Ningning He, Yu Huang, Wen Tao Qin, Xuhan Liu, Lei Li

Genom. Proteom. Bioinform., 2018

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.

Zhen Chen, Pei Zhao, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Yanan Wang, Geoffrey I. Webb, Alexander Ian Smith, Roger J. Daly, Kuo-Chen Chou, Jiangning Song

Bioinform., 2018

2015

Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features.

Zhen Chen, Yuan Zhou, Ziding Zhang, Jiangning Song

Briefings Bioinform., 2015

2011

Outer membrane proteins can be simply identified using secondary structure element alignment.

Ren-Xiang Yan, Zhen Chen, Ziding Zhang

BMC Bioinform., 2011