2026研究成果
ZLab研究成果汇总
精选研究
01 / 23
2026
2026
2026
2025
2024计算生物学
SLAM: Structure-aware lysine β-hydroxybutyrylation prediction with protein language model
International Journal of Biological Macromolecules
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2024计算生物学
Current computational tools for protein lysine acylation site prediction
Briefings in Bioinformatics
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2024基因组编辑
CRISPR/CasΦ2-mediated gene editing in wheat and rye
Journal of Integrative Plant Biology
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2023计算生物学
ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning
Briefings in Bioinformatics
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2023蛋白质功能预测
Designing Effective Predictors of Protein Post-Translational Modifications Using iLearnPlus
Machine Learning in Bioinformatics of Protein Sequences: Algorithms and Applications
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2022
2022蛋白质功能预测
Systematic characterization of lysine post-translational modification sites using MUscADEL
Computational Methods for Predicting Post-Translational Modification Sites
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2021
2021蛋白质功能预测
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
Briefings in Bioinformatics
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2020
2020
2020蛋白质功能预测
PROSPECT: a web server for predicting protein histidine phosphorylation sites
Journal of Bioinformatics and Computational Biology
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2019计算生物学
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites
Briefings in Bioinformatics
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2018计算生物学
Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites
Genomics, Proteomics & Bioinformatics
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2018
2015蛋白质功能预测
Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features
Briefings in Bioinformatics
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2013蛋白质功能预测
hCKSAAP_UbSite: improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties
Biochimica et Biophysica Acta - Proteins and Proteomics
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2013蛋白质功能预测
ZincExplorer: an accurate hybrid method to improve the prediction of zinc-binding sites from protein sequences
Molecular BioSystems
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2011成果档案
全部研究成果
PlantPTM: A deep learning framework integrating protein language models with multi-view features for predicting diverse post-translational modification sites in plants
Gensheng Dou, Kaiyuan Wang, Zhaohui Qin, Min Zhang, Wentian Zhang, Chunbo Miao, Junzhou Li, Zhen Chen.
Efficient homologous replacement and deletion of large genomic fragments through template-jumping prime editing in rice
Huixia Liu, Y. Wang, S. Guan, Z. Zhang, Zhaohui Qin, D. Zhao, F. Li, Min Zhang, Wentian Zhang, Y. Du, Junzhou Li, Zhen Chen, Chunbo Miao.
Multiplex gene editing and effect analysis of yield, fragrance, and blast resistance genes in rice
S. Guan, Y. Han, J. Zhang, Y. Du, Z. Chen, C. Miao, J. Li.
AI sheds new light on genome editing
Zhaohui Qin (秦兆辉)*, Zhaolong Deng (邓兆龙), Chengwei Li (李成伟), Daowen Wang (王道文), Xiang Ji (姬祥), Zhen Chen (陈震).
SLAM: Structure-aware lysine β-hydroxybutyrylation prediction with protein language model
Zhaohui Qin, Huixia Liu, Pei Zhao, Kaiyuan Wang, Haoran Ren, Chunbo Miao, Junzhou Li, Yong-Zi Chen, Zhen Chen.
Current computational tools for protein lysine acylation site prediction
Zhaohui Qin, Haoran Ren, Pei Zhao, Kaiyuan Wang, Huixia Liu, Chunbo Miao, Yanxiu Du, Junzhou Li, Liuji Wu, Zhen Chen
CRISPR/CasΦ2-mediated gene editing in wheat and rye
S. Zhao, X. Han, Y. Zhu, Y. Han, H. Liu, Z. Chen, H. Li, D. Wang, C. Tian, et al.
ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning
Xiaoti Jia*, Pei Zhao, Fuyi Li, Zhaohui Qin, Haoran Ren, Junzhou Li, Chunbo Miao, Quanzhi Zhao, Tatsuya Akutsu, Gensheng Dou, Zhen Chen, Jiangning Song.
Designing Effective Predictors of Protein Post-Translational Modifications Using iLearnPlus
Z. Chen, F. Li, X. Wang, Y. Wang, L. Kurgan, J. Song.
iFeatureOmega: 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 Kurgan, Jiangning Song.
Systematic characterization of lysine post-translational modification sites using MUscADEL
Z. Chen, X. Liu, F. Li, C. Li, T. Marquez-Lago, A. Leier, G. I. Webb, D. Xu, et al.
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Zhen Chen, Pei Zhao, Chen Li, Fuyi Li, Dongxu Xiang, Yong-Zi Chen, Tatsuya Akutsu, Roger J Daly, Geoffrey I Webb, Quanzhi Zhao, Lukasz Kurgan, Jiangning Song.
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
Y.-Z. Chen, Z.-Z. Wang, Y. Wang, G. Ying, Z. Chen, J. Song.
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 Revote, Yan Zhu, David R Powell, Tatsuya Akutsu, Geoffrey I Webb, Kuo-Chen Chou, A Ian Smith, Roger J Daly, Jian Li, Jiangning Song.
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, A Ian Smith, Geoffrey I Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song
PROSPECT: a web server for predicting protein histidine phosphorylation sites
Z. Chen, P. Zhao, F. Li, A. Leier, T. T. Marquez-Lago, G. I. Webb, A. Baggag, et al.
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites
Zhen Chen, Xuhan Liu, Fuyi Li, Chen Li, Tatiana Marquez-Lago, André Leier, Tatsuya Akutsu, Geoffrey I Webb, Dakang Xu, Alexander Ian Smith
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
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, A Ian Smith, Roger J Daly, Kuo-Chen Chou, Jiangning Song
Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features
Z. Chen, Y. Zhou, Z. Zhang, J. Song.
hCKSAAP_UbSite: improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties
Z. Chen, Y. Zhou, J. Song, Z. Zhang.
ZincExplorer: an accurate hybrid method to improve the prediction of zinc-binding sites from protein sequences
Z. Chen, Y. Wang, Y.-F. Zhai, J. Song, Z. Zhang.
Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs
Z. Chen, Y.-Z. Chen, X.-F. Wang, C. Wang, R.-X. Yan, Z. Zhang.