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Briefings in Bioinformatics
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July 6, 2021
Improving protein fold recognition using triplet network and ensemble deep learning
Yan Liu, Ke Han, Yi-Heng Zhu, et al.
Briefings in Bioinformatics
|
August 15, 2025
MKFGO: integrating multi-source knowledge fusion with pretrained language model for high-accuracy protein function prediction
Yi-Heng Zhu, Shuxin Zhu, Xuan Yu, et al.
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|
January 14, 2014
[Preparation of and study on magnetic resonance imaging performance of metal porphyrin modified by low molecular weight chitosan]
Dong-Jun Yu, Min-Zhi Li, Xian-Zhu Huang, et al.
Journal of Computational Chemistry
|
January 5, 2013
TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble
Dong-Jun Yu, Jun Hu, Yan Huang, et al.
Genomics, Proteomics & Bioinformatics
|
May 14, 2022
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction
Yi-Heng Zhu, Chengxin Zhang, Yan Liu, et al.
Laboratory Animal Research
|
March 26, 2015
The relaxing effect of Poncirus fructus and its flavonoid content on porcine coronary artery
Dong-Jun Yu, Jin-Hong Jun, Tae-Jun Kim, et al.
Journal of Chemical Information and Modeling
|
July 28, 2025
MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions
Zihao Yan, Fang Ge, Ying Zhang, et al.
Bioinformatics (Oxford, England)
|
July 24, 2025
ASCE-PPIS: a protein-protein interaction sites predictor based on equivariant graph neural network with fusion of structure-aware pooling and graph collapse
Guanghao Shen, Ziqi Zhang, Zhaohong Deng, et al.
Bioinformatics (Oxford, England)
|
March 14, 2024
MINDG: a drug-target interaction prediction method based on an integrated learning algorithm
Hailong Yang, Yue Chen, Yun Zuo, et al.
Briefings in Bioinformatics
|
October 1, 2024
MLSNet: a deep learning model for predicting transcription factor binding sites
Yuchuan Zhang, Zhikang Wang, Fang Ge, et al.
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Search research articles
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Showing results (101-110 of 126) with videos related to
Sort By:
Page
of 13
Briefings in Bioinformatics
|
July 6, 2021
Improving protein fold recognition using triplet network and ensemble deep learning
Yan Liu, Ke Han, Yi-Heng Zhu, et al.
Briefings in Bioinformatics
|
August 15, 2025
MKFGO: integrating multi-source knowledge fusion with pretrained language model for high-accuracy protein function prediction
Yi-Heng Zhu, Shuxin Zhu, Xuan Yu, et al.
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|
January 14, 2014
[Preparation of and study on magnetic resonance imaging performance of metal porphyrin modified by low molecular weight chitosan]
Dong-Jun Yu, Min-Zhi Li, Xian-Zhu Huang, et al.
Journal of Computational Chemistry
|
January 5, 2013
TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble
Dong-Jun Yu, Jun Hu, Yan Huang, et al.
Genomics, Proteomics & Bioinformatics
|
May 14, 2022
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction
Yi-Heng Zhu, Chengxin Zhang, Yan Liu, et al.
Laboratory Animal Research
|
March 26, 2015
The relaxing effect of Poncirus fructus and its flavonoid content on porcine coronary artery
Dong-Jun Yu, Jin-Hong Jun, Tae-Jun Kim, et al.
Journal of Chemical Information and Modeling
|
July 28, 2025
MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions
Zihao Yan, Fang Ge, Ying Zhang, et al.
Bioinformatics (Oxford, England)
|
July 24, 2025
ASCE-PPIS: a protein-protein interaction sites predictor based on equivariant graph neural network with fusion of structure-aware pooling and graph collapse
Guanghao Shen, Ziqi Zhang, Zhaohong Deng, et al.
Bioinformatics (Oxford, England)
|
March 14, 2024
MINDG: a drug-target interaction prediction method based on an integrated learning algorithm
Hailong Yang, Yue Chen, Yun Zuo, et al.
Briefings in Bioinformatics
|
October 1, 2024
MLSNet: a deep learning model for predicting transcription factor binding sites
Yuchuan Zhang, Zhikang Wang, Fang Ge, et al.
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of 13