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Hanxuan Cai

Showing results (1-10 of 7) with videos related to

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Briefings in Bioinformatics|September 20, 2022
FP-GNN: a versatile deep learning architecture for enhanced molecular property predictionHanxuan Cai, Huimin Zhang, Duancheng Zhao, et al.
Frontiers in Pharmacology|April 27, 2023
DEEPCYPs: A deep learning platform for enhanced cytochrome P450 activity predictionDaiqiao Ai, Hanxuan Cai, Jiajia Wei, et al.
Frontiers in Pharmacology|June 16, 2022
Corrigendum: Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer CellsShuyun He, Duancheng Zhao, Yanle Ling, et al.
Frontiers in Pharmacology|January 3, 2022
Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer CellsShuyun He, Duancheng Zhao, Yanle Ling, et al.
Frontiers in Pharmacology|October 28, 2022
A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitorsDaiqiao Ai, Jingxing Wu, Hanxuan Cai, et al.
European Journal of Medicinal Chemistry|April 28, 2023
DeepCancerMap: A versatile deep learning platform for target- and cell-based anticancer drug discoveryJingxing Wu, Yi Xiao, Mujie Lin, et al.
Bioorganic & Medicinal Chemistry|September 10, 2022
Ligand- and structure-based identification of novel CDK9 inhibitors for the potential treatment of leukemiaHuimin Zhang, Jindi Huang, Rui Chen, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Briefings in Bioinformatics|September 20, 2022
FP-GNN: a versatile deep learning architecture for enhanced molecular property predictionHanxuan Cai, Huimin Zhang, Duancheng Zhao, et al.
Frontiers in Pharmacology|April 27, 2023
DEEPCYPs: A deep learning platform for enhanced cytochrome P450 activity predictionDaiqiao Ai, Hanxuan Cai, Jiajia Wei, et al.
Frontiers in Pharmacology|June 16, 2022
Corrigendum: Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer CellsShuyun He, Duancheng Zhao, Yanle Ling, et al.
Frontiers in Pharmacology|January 3, 2022
Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer CellsShuyun He, Duancheng Zhao, Yanle Ling, et al.
Frontiers in Pharmacology|October 28, 2022
A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitorsDaiqiao Ai, Jingxing Wu, Hanxuan Cai, et al.
European Journal of Medicinal Chemistry|April 28, 2023
DeepCancerMap: A versatile deep learning platform for target- and cell-based anticancer drug discoveryJingxing Wu, Yi Xiao, Mujie Lin, et al.
Bioorganic & Medicinal Chemistry|September 10, 2022
Ligand- and structure-based identification of novel CDK9 inhibitors for the potential treatment of leukemiaHuimin Zhang, Jindi Huang, Rui Chen, et al.
Pageof 1