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Lesong Wei

Showing results (1-10 of 14) with videos related to

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Frontiers in Chemistry|May 7, 2026
Machine learning for the prediction of gram-negative bacterial secreted effectors: advances and challengesLesong Wei, Shida He, Zhengyang Fan
Methods (San Diego, Calif.)|February 3, 2022
MDL-CPI: Multi-view deep learning model for compound-protein interaction predictionLesong Wei, Wentao Long, Leyi Wei
IEEE Journal of Biomedical and Health Informatics|May 6, 2026
Harnessing Terminal Signal-Aware Deep Learning for Accurate Multi-Class Secreted Effector IdentificationLesong Wei, Shida He, Quan Zou, et al.
Computers in Biology and Medicine|October 20, 2023
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual informationJiaqi Liao, Haoyang Chen, Lesong Wei, et al.
Frontiers in Genetics|April 19, 2021
iDNA-MT: Identification DNA Modification Sites in Multiple Species by Using Multi-Task Learning Based a Neural Network ToolXiao Yang, Xiucai Ye, Xuehong Li, et al.
Bioinformatics (Oxford, England)|January 9, 2022
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learningLesong Wei, Xiucai Ye, Tetsuya Sakurai, et al.
Briefings in Bioinformatics|April 6, 2021
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanismLesong Wei, Xiucai Ye, Yuyang Xue, et al.
Methods (San Diego, Calif.)|September 26, 2022
MultiscaleDTA: A multiscale-based method with a self-attention mechanism for drug-target binding affinity predictionHaoyang Chen, Dahe Li, Jiaqi Liao, et al.
Current Medicinal Chemistry|September 21, 2021
Better Performance with Transformer: CPPFormer in the Precise Prediction of Cell-penetrating PeptidesYuyang Xue, Xiucai Ye, Lesong Wei, et al.
Briefings in Bioinformatics|January 11, 2023
AFP-MFL: accurate identification of antifungal peptides using multi-view feature learningYitian Fang, Fan Xu, Lesong Wei, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Frontiers in Chemistry|May 7, 2026
Machine learning for the prediction of gram-negative bacterial secreted effectors: advances and challengesLesong Wei, Shida He, Zhengyang Fan
Methods (San Diego, Calif.)|February 3, 2022
MDL-CPI: Multi-view deep learning model for compound-protein interaction predictionLesong Wei, Wentao Long, Leyi Wei
IEEE Journal of Biomedical and Health Informatics|May 6, 2026
Harnessing Terminal Signal-Aware Deep Learning for Accurate Multi-Class Secreted Effector IdentificationLesong Wei, Shida He, Quan Zou, et al.
Computers in Biology and Medicine|October 20, 2023
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual informationJiaqi Liao, Haoyang Chen, Lesong Wei, et al.
Frontiers in Genetics|April 19, 2021
iDNA-MT: Identification DNA Modification Sites in Multiple Species by Using Multi-Task Learning Based a Neural Network ToolXiao Yang, Xiucai Ye, Xuehong Li, et al.
Bioinformatics (Oxford, England)|January 9, 2022
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learningLesong Wei, Xiucai Ye, Tetsuya Sakurai, et al.
Briefings in Bioinformatics|April 6, 2021
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanismLesong Wei, Xiucai Ye, Yuyang Xue, et al.
Methods (San Diego, Calif.)|September 26, 2022
MultiscaleDTA: A multiscale-based method with a self-attention mechanism for drug-target binding affinity predictionHaoyang Chen, Dahe Li, Jiaqi Liao, et al.
Current Medicinal Chemistry|September 21, 2021
Better Performance with Transformer: CPPFormer in the Precise Prediction of Cell-penetrating PeptidesYuyang Xue, Xiucai Ye, Lesong Wei, et al.
Briefings in Bioinformatics|January 11, 2023
AFP-MFL: accurate identification of antifungal peptides using multi-view feature learningYitian Fang, Fan Xu, Lesong Wei, et al.
Pageof 2