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Jike Wang

Showing results (21-30 of 76) with videos related to

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Journal of Chemical Information and Modeling|June 8, 2022
Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention MechanismJiahui Yu, Jike Wang, Hong Zhao, et al.
Briefings in Bioinformatics|December 20, 2021
Comprehensive assessment of deep generative architectures for de novo drug designMingyang Wang, Huiyong Sun, Jike Wang, et al.
Biomaterials Science|April 16, 2021
Correction: The potential role of borophene as a radiosensitizer in boron neutron capture therapy (BNCT) and particle therapy (PT)Pengyuan Qi, Qianyuan Chen, Dong Tu, et al.
Biomaterials Science|April 29, 2020
The potential role of borophene as a radiosensitizer in boron neutron capture therapy (BNCT) and particle therapy (PT)Pengyuan Qi, Qianyuan Chen, Dong Tu, et al.
Briefings in Bioinformatics|May 22, 2021
DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic chargesJike Wang, Dongsheng Cao, Cunchen Tang, et al.
Bioinformatics (Oxford, England)|May 19, 2021
DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithmsJike Wang, Huiyong Sun, Jiawen Chen, et al.
Briefings in Bioinformatics|January 21, 2022
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learningDejun Jiang, Huiyong Sun, Jike Wang, et al.
Chemical Science|May 5, 2025
TRAP: a contrastive learning-enhanced framework for robust TCR-pMHC binding prediction with improved generalizabilityJingxuan Ge, Jike Wang, Qing Ye, et al.
Briefings in Bioinformatics|April 19, 2022
Knowledge-based BERT: a method to extract molecular features like computational chemistsZhenxing Wu, Dejun Jiang, Jike Wang, et al.
Current Opinion in Structural Biology|November 25, 2021
Deep learning approaches for de novo drug design: An overviewMingyang Wang, Zhe Wang, Huiyong Sun, et al.
Pageof 8

Showing results (21-30 of 76) with videos related to

Sort By:
Pageof 8
Journal of Chemical Information and Modeling|June 8, 2022
Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention MechanismJiahui Yu, Jike Wang, Hong Zhao, et al.
Briefings in Bioinformatics|December 20, 2021
Comprehensive assessment of deep generative architectures for de novo drug designMingyang Wang, Huiyong Sun, Jike Wang, et al.
Biomaterials Science|April 16, 2021
Correction: The potential role of borophene as a radiosensitizer in boron neutron capture therapy (BNCT) and particle therapy (PT)Pengyuan Qi, Qianyuan Chen, Dong Tu, et al.
Biomaterials Science|April 29, 2020
The potential role of borophene as a radiosensitizer in boron neutron capture therapy (BNCT) and particle therapy (PT)Pengyuan Qi, Qianyuan Chen, Dong Tu, et al.
Briefings in Bioinformatics|May 22, 2021
DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic chargesJike Wang, Dongsheng Cao, Cunchen Tang, et al.
Bioinformatics (Oxford, England)|May 19, 2021
DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithmsJike Wang, Huiyong Sun, Jiawen Chen, et al.
Briefings in Bioinformatics|January 21, 2022
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learningDejun Jiang, Huiyong Sun, Jike Wang, et al.
Chemical Science|May 5, 2025
TRAP: a contrastive learning-enhanced framework for robust TCR-pMHC binding prediction with improved generalizabilityJingxuan Ge, Jike Wang, Qing Ye, et al.
Briefings in Bioinformatics|April 19, 2022
Knowledge-based BERT: a method to extract molecular features like computational chemistsZhenxing Wu, Dejun Jiang, Jike Wang, et al.
Current Opinion in Structural Biology|November 25, 2021
Deep learning approaches for de novo drug design: An overviewMingyang Wang, Zhe Wang, Huiyong Sun, et al.
Pageof 8