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Methods (San Diego, Calif.)
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May 11, 2025
Robust temporal knowledge inference via pathway snapshots with liquid neural network
Peifu Han, Jianmin Wang, Dayan Liu, et al.
Journal of Chemical Information and Modeling
|
November 18, 2022
RGN: Residue-Based Graph Attention and Convolutional Network for Protein-Protein Interaction Site Prediction
Shuang Wang, Wenqi Chen, Peifu Han, et al.
BMC Genomics
|
June 27, 2022
SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction
Xue Li, Peifu Han, Gan Wang, et al.
BMC Genomics
|
August 3, 2022
DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction
Wenqi Chen, Shuang Wang, Tao Song, et al.
Frontiers in Pharmacology
|
January 9, 2023
Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis
Peifu Han, Xue Li, Xun Wang, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
January 28, 2026
PTPPI: A Study on Protein Inhibitor Prediction Methods Using Multimodal Feature Fusion and Attention Mechanism
Zhaoyang Dong, Peifu Han, Xue Li, et al.
Journal of Chemical Information and Modeling
|
September 16, 2025
DGSS: A Dynamic Interaction Graph Neural Network with Specific Substructure Awareness for Drug Synergy Prediction
Jingyang Ge, Peifu Han, Ruiqi Xu, et al.
Plos Computational Biology
|
April 22, 2025
TGF-M: Topology-augmented geometric features enhance molecular property prediction
Wei He, Xu Tian, Xue Li, et al.
Journal of Cheminformatics
|
August 29, 2025
Alphappimi: a comprehensive deep learning framework for predicting PPI-modulator interactions
Dayan Liu, Tao Song, Shuang Wang, et al.
Methods (San Diego, Calif.)
|
February 10, 2023
DNMG: Deep molecular generative model by fusion of 3D information for de novo drug design
Tao Song, Yongqi Ren, Shuang Wang, et al.
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Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Methods (San Diego, Calif.)
|
May 11, 2025
Robust temporal knowledge inference via pathway snapshots with liquid neural network
Peifu Han, Jianmin Wang, Dayan Liu, et al.
Journal of Chemical Information and Modeling
|
November 18, 2022
RGN: Residue-Based Graph Attention and Convolutional Network for Protein-Protein Interaction Site Prediction
Shuang Wang, Wenqi Chen, Peifu Han, et al.
BMC Genomics
|
June 27, 2022
SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction
Xue Li, Peifu Han, Gan Wang, et al.
BMC Genomics
|
August 3, 2022
DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction
Wenqi Chen, Shuang Wang, Tao Song, et al.
Frontiers in Pharmacology
|
January 9, 2023
Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis
Peifu Han, Xue Li, Xun Wang, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
January 28, 2026
PTPPI: A Study on Protein Inhibitor Prediction Methods Using Multimodal Feature Fusion and Attention Mechanism
Zhaoyang Dong, Peifu Han, Xue Li, et al.
Journal of Chemical Information and Modeling
|
September 16, 2025
DGSS: A Dynamic Interaction Graph Neural Network with Specific Substructure Awareness for Drug Synergy Prediction
Jingyang Ge, Peifu Han, Ruiqi Xu, et al.
Plos Computational Biology
|
April 22, 2025
TGF-M: Topology-augmented geometric features enhance molecular property prediction
Wei He, Xu Tian, Xue Li, et al.
Journal of Cheminformatics
|
August 29, 2025
Alphappimi: a comprehensive deep learning framework for predicting PPI-modulator interactions
Dayan Liu, Tao Song, Shuang Wang, et al.
Methods (San Diego, Calif.)
|
February 10, 2023
DNMG: Deep molecular generative model by fusion of 3D information for de novo drug design
Tao Song, Yongqi Ren, Shuang Wang, et al.
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of 2