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Weihe Dong

Showing results (1-10 of 9) with videos related to

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Briefings in Bioinformatics|April 28, 2023
Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural networkWeihe Dong, Qiang Yang, Jian Wang, et al.
Briefings in Bioinformatics|September 29, 2025
AdaSemb: an adaptive knowledge-driven deep learning framework integrating cancer protein assemblies for predicting PI3Kα inhibitor response and resistanceZaiduo Li, Qiang Yang, Long Xu, et al.
Bioinformatics Advances|January 29, 2024
SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug-target interactionsXiaokun Li, Qiang Yang, Gongning Luo, et al.
Bioinformatics (Oxford, England)|April 1, 2024
DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteinsXiaokun Li, Qiang Yang, Long Xu, et al.
Plos Computational Biology|June 22, 2026
TCRBinder: Unified pre-trained language model with paired-chain synergy for predicting T-cell receptor binding specificityWeihe Dong, Qiang Yang, Long Xu, et al.
Plos Computational Biology|September 12, 2025
THLANet: A deep learning framework for predicting TCR-pHLA binding in immunotherapy applicationsXu Long, Qiang Yang, Weihe Dong, et al.
Briefings in Bioinformatics|December 10, 2024
Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapyLong Xu, Qiang Yang, Weihe Dong, et al.
Briefings in Bioinformatics|December 26, 2025
TCRdesign: an antigen-specific generative language model for de novo design of T-cell receptorsXiaokun Li, Qiang Yang, Long Xu, et al.
Briefings in Bioinformatics|June 26, 2024
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responsesQiang Yang, Long Xu, Weihe Dong, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Briefings in Bioinformatics|April 28, 2023
Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural networkWeihe Dong, Qiang Yang, Jian Wang, et al.
Briefings in Bioinformatics|September 29, 2025
AdaSemb: an adaptive knowledge-driven deep learning framework integrating cancer protein assemblies for predicting PI3Kα inhibitor response and resistanceZaiduo Li, Qiang Yang, Long Xu, et al.
Bioinformatics Advances|January 29, 2024
SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug-target interactionsXiaokun Li, Qiang Yang, Gongning Luo, et al.
Bioinformatics (Oxford, England)|April 1, 2024
DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteinsXiaokun Li, Qiang Yang, Long Xu, et al.
Plos Computational Biology|June 22, 2026
TCRBinder: Unified pre-trained language model with paired-chain synergy for predicting T-cell receptor binding specificityWeihe Dong, Qiang Yang, Long Xu, et al.
Plos Computational Biology|September 12, 2025
THLANet: A deep learning framework for predicting TCR-pHLA binding in immunotherapy applicationsXu Long, Qiang Yang, Weihe Dong, et al.
Briefings in Bioinformatics|December 10, 2024
Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapyLong Xu, Qiang Yang, Weihe Dong, et al.
Briefings in Bioinformatics|December 26, 2025
TCRdesign: an antigen-specific generative language model for de novo design of T-cell receptorsXiaokun Li, Qiang Yang, Long Xu, et al.
Briefings in Bioinformatics|June 26, 2024
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responsesQiang Yang, Long Xu, Weihe Dong, et al.
Pageof 1