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Qichang Zhao

Showing results (1-10 of 25) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLMWuguo Tang, Qichang Zhao, Jianxin Wang
Methods (San Diego, Calif.)|January 17, 2025
FedKD-CPI: Combining the federated knowledge distillation technique to accomplish synergistic compound-protein interaction predictionXuetao Wang, Qichang Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|June 3, 2025
MADSP: predicting anti-cancer drug synergy through multi-source integration and attention-based representation learningYuqi Hong, Qichang Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|October 19, 2021
HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanismQichang Zhao, Haochen Zhao, Kai Zheng, et al.
IEEE Transactions on Computational Biology and Bioinformatics|September 11, 2025
MGRFN: Integrating Multiple Molecular Graph Representations for Molecular Property PredictionPengcheng Shu, Qichang Zhao, Jie Zhou, et al.
Bioinformatics (Oxford, England)|July 8, 2022
IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanismZhongjian Cheng, Qichang Zhao, Yaohang Li, et al.
IEEE Journal of Biomedical and Health Informatics|November 5, 2025
BiBLDR: Bidirectional Behavior Learning for Drug RepositioningRenye Zhang, Mengyun Yang, Qichang Zhao, et al.
Bioinformatics (Oxford, England)|February 8, 2025
MolFCL: predicting molecular properties through chemistry-guided contrastive and prompt learningXiang Tang, Qichang Zhao, Jianxin Wang, et al.
Bioinformatics (Oxford, England)|June 28, 2024
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structureGuanglei Yu, Qichang Zhao, Xuehua Bi, et al.
Bioinformatics (Oxford, England)|November 9, 2023
SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology dataXuehua Bi, Weiyang Liang, Qichang Zhao, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLMWuguo Tang, Qichang Zhao, Jianxin Wang
Methods (San Diego, Calif.)|January 17, 2025
FedKD-CPI: Combining the federated knowledge distillation technique to accomplish synergistic compound-protein interaction predictionXuetao Wang, Qichang Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|June 3, 2025
MADSP: predicting anti-cancer drug synergy through multi-source integration and attention-based representation learningYuqi Hong, Qichang Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|October 19, 2021
HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanismQichang Zhao, Haochen Zhao, Kai Zheng, et al.
IEEE Transactions on Computational Biology and Bioinformatics|September 11, 2025
MGRFN: Integrating Multiple Molecular Graph Representations for Molecular Property PredictionPengcheng Shu, Qichang Zhao, Jie Zhou, et al.
Bioinformatics (Oxford, England)|July 8, 2022
IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanismZhongjian Cheng, Qichang Zhao, Yaohang Li, et al.
IEEE Journal of Biomedical and Health Informatics|November 5, 2025
BiBLDR: Bidirectional Behavior Learning for Drug RepositioningRenye Zhang, Mengyun Yang, Qichang Zhao, et al.
Bioinformatics (Oxford, England)|February 8, 2025
MolFCL: predicting molecular properties through chemistry-guided contrastive and prompt learningXiang Tang, Qichang Zhao, Jianxin Wang, et al.
Bioinformatics (Oxford, England)|June 28, 2024
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structureGuanglei Yu, Qichang Zhao, Xuehua Bi, et al.
Bioinformatics (Oxford, England)|November 9, 2023
SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology dataXuehua Bi, Weiyang Liang, Qichang Zhao, et al.
Pageof 3