Hasil Pencarian - Dejun Jiang

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  1. 1
    ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning

    ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning oleh Dejun Jiang, Tailong Lei, Zhe Wang, Chao Shen, Dongsheng Cao, Tingjun Hou

    Diterbitkan 2020-03-01
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  2. 2
    Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR

    Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR oleh Huibao Huang, Shujun Ju, Wei Duan, Dejun Jiang, Zhiliang Gao, Heng Liu

    Diterbitkan 2023-03-01
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  3. 3
    Prognostic and clinicopathological significance of C-reactive protein/albumin ratio (CAR) in patients with gastric cancer: A meta-analysis.

    Prognostic and clinicopathological significance of C-reactive protein/albumin ratio (CAR) in patients with gastric cancer: A meta-analysis. oleh Junhua Yu, Huiling Liu, Xueyun Zeng, Yujun Zhao, Dejun Jiang, Hang Lu, Jun Qian

    Diterbitkan 2021-01-01
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  4. 4
    TB-IECS: an accurate machine learning-based scoring function for virtual screening

    TB-IECS: an accurate machine learning-based scoring function for virtual screening oleh Xujun Zhang, Chao Shen, Dejun Jiang, Jintu Zhang, Qing Ye, Lei Xu, Tingjun Hou, Peichen Pan, Yu Kang

    Diterbitkan 2023-07-01
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  5. 5
    Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

    Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models oleh Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dongsheng Cao, Jian Wu, Tingjun Hou

    Diterbitkan 2021-02-01
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  6. 6
    Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking

    Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking oleh Zhenxing Wu, Jike Wang, Hongyan Du, Dejun Jiang, Yu Kang, Dan Li, Peichen Pan, Yafeng Deng, Dongsheng Cao, Chang-Yu Hsieh, Tingjun Hou

    Diterbitkan 2023-05-01
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  7. 7
    Proteome-Wide Profiling of the Covalent-Druggable Cysteines with a Structure-Based Deep Graph Learning Network

    Proteome-Wide Profiling of the Covalent-Druggable Cysteines with a Structure-Based Deep Graph Learning Network oleh Hongyan Du, Dejun Jiang, Junbo Gao, Xujun Zhang, Lingxiao Jiang, Yundian Zeng, Zhenxing Wu, Chao Shen, Lei Xu, Dongsheng Cao, Tingjun Hou, Peichen Pan

    Diterbitkan 2022-01-01
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  8. 8
    Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites

    Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites oleh Xiaorui Wang, Xiaodan Yin, Dejun Jiang, Huifeng Zhao, Zhenxing Wu, Odin Zhang, Jike Wang, Yuquan Li, Yafeng Deng, Huanxiang Liu, Pei Luo, Yuqiang Han, Tingjun Hou, Xiaojun Yao, Chang-Yu Hsieh

    Diterbitkan 2024-08-01
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  9. 9
    Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center

    Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center oleh Xiaorui Wang, Chang-Yu Hsieh, Xiaodan Yin, Jike Wang, Yuquan Li, Yafeng Deng, Dejun Jiang, Zhenxing Wu, Hongyan Du, Hongming Chen, Yun Li, Huanxiang Liu, Yuwei Wang, Pei Luo, Tingjun Hou, Xiaojun Yao

    Diterbitkan 2023-01-01
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