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Gigascience
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November 1, 2024
Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning
Shizhuo Zhang, Jiyun Han, Juntao Liu
STAR Protocols
|
September 3, 2023
Protocol for predicting peptides with anticancer and antimicrobial properties by a tri-fusion neural network
Jiyun Han, Shizhuo Zhang, Juntao Liu
Communications Biology
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September 28, 2024
PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model
Jiyun Han, Tongxin Kong, Juntao Liu
Genome Biology
|
October 7, 2025
SpatPPI: a geometric deep learning model for predicting protein-protein interactions involving intrinsically disordered regions
Zeyu Xu, Yanhao Zhu, Jiyun Han, et al.
Research (Washington, D.C.)
|
July 10, 2025
SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution
Mingming Guan, Jiyun Han, Shizhuo Zhang, et al.
Molecules and Cells
|
January 6, 2026
Viral Transduction for T Cell Engineering in Immunotherapy
Yikhyeon Seo, Jimin Pak, Jiyun Han, et al.
Optics Express
|
December 23, 2022
Super multi-view near-eye display with a lightguide combiner
Woongseob Han, Jiyun Han, Yeon-Gyeong Ju, et al.
Briefings in Bioinformatics
|
October 2, 2023
Spatom: a graph neural network for structure-based protein-protein interaction site prediction
Haonan Wu, Jiyun Han, Shizhuo Zhang, et al.
Structure (London, England : 1993)
|
November 2, 2024
GeoNet enables the accurate prediction of protein-ligand binding sites through interpretable geometric deep learning
Jiyun Han, Shizhuo Zhang, Mingming Guan, et al.
Gigascience
|
December 13, 2023
DriverMP enables improved identification of cancer driver genes
Yangyang Liu, Jiyun Han, Tongxin Kong, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 21) with videos related to
Sort By:
Page
of 3
Gigascience
|
November 1, 2024
Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning
Shizhuo Zhang, Jiyun Han, Juntao Liu
STAR Protocols
|
September 3, 2023
Protocol for predicting peptides with anticancer and antimicrobial properties by a tri-fusion neural network
Jiyun Han, Shizhuo Zhang, Juntao Liu
Communications Biology
|
September 28, 2024
PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model
Jiyun Han, Tongxin Kong, Juntao Liu
Genome Biology
|
October 7, 2025
SpatPPI: a geometric deep learning model for predicting protein-protein interactions involving intrinsically disordered regions
Zeyu Xu, Yanhao Zhu, Jiyun Han, et al.
Research (Washington, D.C.)
|
July 10, 2025
SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution
Mingming Guan, Jiyun Han, Shizhuo Zhang, et al.
Molecules and Cells
|
January 6, 2026
Viral Transduction for T Cell Engineering in Immunotherapy
Yikhyeon Seo, Jimin Pak, Jiyun Han, et al.
Optics Express
|
December 23, 2022
Super multi-view near-eye display with a lightguide combiner
Woongseob Han, Jiyun Han, Yeon-Gyeong Ju, et al.
Briefings in Bioinformatics
|
October 2, 2023
Spatom: a graph neural network for structure-based protein-protein interaction site prediction
Haonan Wu, Jiyun Han, Shizhuo Zhang, et al.
Structure (London, England : 1993)
|
November 2, 2024
GeoNet enables the accurate prediction of protein-ligand binding sites through interpretable geometric deep learning
Jiyun Han, Shizhuo Zhang, Mingming Guan, et al.
Gigascience
|
December 13, 2023
DriverMP enables improved identification of cancer driver genes
Yangyang Liu, Jiyun Han, Tongxin Kong, et al.
Page
of 3