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Yejian Wu

Showing results (1-10 of 15) with videos related to

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Chemical Communications (Cambridge, England)|April 28, 2021
A graph-convolutional neural network for addressing small-scale reaction predictionYejian Wu, Chengyun Zhang, Ling Wang, et al.
Vaccines|April 27, 2024
Seroprevalence of Diphtheria and Tetanus Immunoglobulin G among the General Health Population in Guangzhou, ChinaQing He, Yejian Wu, Shuiping Hou, et al.
RSC Advances|December 12, 2022
Generation of novel Diels-Alder reactions using a generative adversarial networkSheng Li, Xinqiao Wang, Yejian Wu, et al.
Journal of Chemical Information and Modeling|December 4, 2023
Efficient Computational Framework for Target-Specific Active Peptide Discovery: A Case Study on IL-17C Targeting Cyclic PeptidesZhipeng Wu, Yejian Wu, Cheng Zhu, et al.
Physical Chemistry Chemical Physics : PCCP|April 19, 2022
Reproducing the invention of a named reaction: zero-shot prediction of unseen chemical reactionsAn Su, Xinqiao Wang, Ling Wang, et al.
Journal of Cheminformatics|September 2, 2022
From theory to experiment: transformer-based generation enables rapid discovery of novel reactionsXinqiao Wang, Chuansheng Yao, Yun Zhang, et al.
Journal of Medicinal Chemistry|January 25, 2024
Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic PeptidesLujing Cao, Zhenyu Xu, Tianfeng Shang, et al.
Scientific Reports|October 12, 2022
Virtual data augmentation method for reaction predictionXinyi Wu, Yun Zhang, Jiahui Yu, et al.
Journal of Chemical Information and Modeling|September 21, 2022
Self-Supervised Molecular Pretraining Strategy for Low-Resource Reaction Prediction ScenariosZhipeng Wu, Xiang Cai, Chengyun Zhang, et al.
RSC Advances|November 16, 2022
Transformer-based multitask learning for reaction prediction under low-resource circumstancesHaoran Qiao, Yejian Wu, Yun Zhang, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Chemical Communications (Cambridge, England)|April 28, 2021
A graph-convolutional neural network for addressing small-scale reaction predictionYejian Wu, Chengyun Zhang, Ling Wang, et al.
Vaccines|April 27, 2024
Seroprevalence of Diphtheria and Tetanus Immunoglobulin G among the General Health Population in Guangzhou, ChinaQing He, Yejian Wu, Shuiping Hou, et al.
RSC Advances|December 12, 2022
Generation of novel Diels-Alder reactions using a generative adversarial networkSheng Li, Xinqiao Wang, Yejian Wu, et al.
Journal of Chemical Information and Modeling|December 4, 2023
Efficient Computational Framework for Target-Specific Active Peptide Discovery: A Case Study on IL-17C Targeting Cyclic PeptidesZhipeng Wu, Yejian Wu, Cheng Zhu, et al.
Physical Chemistry Chemical Physics : PCCP|April 19, 2022
Reproducing the invention of a named reaction: zero-shot prediction of unseen chemical reactionsAn Su, Xinqiao Wang, Ling Wang, et al.
Journal of Cheminformatics|September 2, 2022
From theory to experiment: transformer-based generation enables rapid discovery of novel reactionsXinqiao Wang, Chuansheng Yao, Yun Zhang, et al.
Journal of Medicinal Chemistry|January 25, 2024
Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic PeptidesLujing Cao, Zhenyu Xu, Tianfeng Shang, et al.
Scientific Reports|October 12, 2022
Virtual data augmentation method for reaction predictionXinyi Wu, Yun Zhang, Jiahui Yu, et al.
Journal of Chemical Information and Modeling|September 21, 2022
Self-Supervised Molecular Pretraining Strategy for Low-Resource Reaction Prediction ScenariosZhipeng Wu, Xiang Cai, Chengyun Zhang, et al.
RSC Advances|November 16, 2022
Transformer-based multitask learning for reaction prediction under low-resource circumstancesHaoran Qiao, Yejian Wu, Yun Zhang, et al.
Pageof 2