Hasil Pencarian - Ziding Zhang

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  1. 1
    Systems understanding of plant—pathogen interactions through genome-wide protein—protein interaction networks

    Systems understanding of plant—pathogen interactions through genome-wide protein—protein interaction networks oleh Hong LI,Ziding ZHANG

    Diterbitkan 2016-06-01
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  2. 2
    Computational protein design approaches with significant biological outcomes: progress and challenges

    Computational protein design approaches with significant biological outcomes: progress and challenges oleh Xiaoman Li, Ziding Zhang, Jiangning Song

    Diterbitkan 2012-09-01
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  3. 3
    COMPUTATIONAL ENZYME DESIGN APPROACHES WITH SIGNIFICANT BIOLOGICAL OUTCOMES: PROGRESS AND CHALLENGES

    COMPUTATIONAL ENZYME DESIGN APPROACHES WITH SIGNIFICANT BIOLOGICAL OUTCOMES: PROGRESS AND CHALLENGES oleh Xiaoman Li, Ziding Zhang, Jiangning Song

    Diterbitkan 2012-09-01
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  4. 4
    Network Analysis Reveals a Common Host–Pathogen Interaction Pattern in Arabidopsis Immune Responses

    Network Analysis Reveals a Common Host–Pathogen Interaction Pattern in Arabidopsis Immune Responses oleh Hong Li, Yuan Zhou, Ziding Zhang

    Diterbitkan 2017-05-01
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  5. 5
    Understanding the influence of AMG 510 on the structure of KRASG12C empowered by molecular dynamics simulation

    Understanding the influence of AMG 510 on the structure of KRASG12C empowered by molecular dynamics simulation oleh Yu Li, Lei Han, Ziding Zhang

    Diterbitkan 2022-01-01
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  6. 6
    Using weakly conserved motifs hidden in secretion signals to identify type-III effectors from bacterial pathogen genomes.

    Using weakly conserved motifs hidden in secretion signals to identify type-III effectors from bacterial pathogen genomes. oleh Xiaobao Dong, Yong-Jun Zhang, Ziding Zhang

    Diterbitkan 2013-01-01
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  7. 7
    ASTool: An Easy-to-Use Tool to Accurately Identify Alternative Splicing Events from Plant RNA-Seq Data

    ASTool: An Easy-to-Use Tool to Accurately Identify Alternative Splicing Events from Plant RNA-Seq Data oleh Huan Qi, Xiaokun Guo, Tianpeng Wang, Ziding Zhang

    Diterbitkan 2022-04-01
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  8. 8
    Structural propensities of human ubiquitination sites: accessibility, centrality and local conformation.

    Structural propensities of human ubiquitination sites: accessibility, centrality and local conformation. oleh Yuan Zhou, Sixue Liu, Jiangning Song, Ziding Zhang

    Diterbitkan 2013-01-01
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  9. 9
    AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information

    AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information oleh Yan Huang, Yan Huang, Ziding Zhang, Yuan Zhou

    Diterbitkan 2022-12-01
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  10. 10
    An Important Role for Purifying Selection in Archaeal Genome Evolution

    An Important Role for Purifying Selection in Archaeal Genome Evolution oleh Zhe Lyu, Zhi-Gang Li, Fei He, Ziding Zhang

    Diterbitkan 2017-10-01
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  11. 11
    Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

    Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method oleh Xiaodi Yang, Shiping Yang, Qinmengge Li, Stefan Wuchty, Ziding Zhang

    Diterbitkan 2020-01-01
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  12. 12
    Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework

    Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework oleh Shiping Yang, Chen Fu, Xianyi Lian, Xiaobao Dong, Ziding Zhang

    Diterbitkan 2019-04-01
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  13. 13
    PlaASDB: a comprehensive database of plant alternative splicing events in response to stress

    PlaASDB: a comprehensive database of plant alternative splicing events in response to stress oleh Xiaokun Guo, Tianpeng Wang, Linyang Jiang, Huan Qi, Ziding Zhang

    Diterbitkan 2023-04-01
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  14. 14
    Proteome-wide prediction and analysis of the Cryptosporidium parvum protein–protein interaction network through integrative methods

    Proteome-wide prediction and analysis of the Cryptosporidium parvum protein–protein interaction network through integrative methods oleh Panyu Ren, Xiaodi Yang, Tianpeng Wang, Yunpeng Hou, Ziding Zhang

    Diterbitkan 2022-01-01
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  15. 15
    Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein–protein interactions

    Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein–protein interactions oleh Kewei Zhou, Chenping Lei, Jingyan Zheng, Yan Huang, Ziding Zhang

    Diterbitkan 2023-12-01
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  16. 16
    Identification of catalytic residues using a novel feature that integrates the microenvironment and geometrical location properties of residues.

    Identification of catalytic residues using a novel feature that integrates the microenvironment and geometrical location properties of residues. oleh Lei Han, Yong-Jun Zhang, Jiangning Song, Ming S Liu, Ziding Zhang

    Diterbitkan 2012-01-01
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  17. 17
    PlaD: A Transcriptomics Database for Plant Defense Responses to Pathogens, Providing New Insights into Plant Immune System

    PlaD: A Transcriptomics Database for Plant Defense Responses to Pathogens, Providing New Insights into Plant Immune System oleh Huan Qi, Zhenhong Jiang, Kang Zhang, Shiping Yang, Fei He, Ziding Zhang

    Diterbitkan 2018-08-01
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  18. 18
    PlaPPISite: a comprehensive resource for plant protein-protein interaction sites

    PlaPPISite: a comprehensive resource for plant protein-protein interaction sites oleh Xiaodi Yang, Shiping Yang, Huan Qi, Tianpeng Wang, Hong Li, Ziding Zhang

    Diterbitkan 2020-02-01
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  19. 19
    PredPPCrys: accurate prediction of sequence cloning, protein production, purification and crystallization propensity from protein sequences using multi-step heterogeneous feature fusion and selection.

    PredPPCrys: accurate prediction of sequence cloning, protein production, purification and crystallization propensity from protein sequences using multi-step heterogeneous feature f... oleh Huilin Wang, Mingjun Wang, Hao Tan, Yuan Li, Ziding Zhang, Jiangning Song

    Diterbitkan 2014-01-01
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  20. 20
    Network-based analysis of virulence factors for uncovering Aeromonas veronii pathogenesis

    Network-based analysis of virulence factors for uncovering Aeromonas veronii pathogenesis oleh Hong Li, Xiang Ma, Yanqiong Tang, Dan Wang, Ziding Zhang, Zhu Liu

    Diterbitkan 2021-06-01
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