Fusong Ju

According to our database, Fusong Ju authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

2023

SASA-Net: A Spatial-Aware Self-Attention Mechanism for Building Protein 3D Structure Directly From Inter- Residue Distances.

Tiansu Gong, Fusong Ju, Shiwei Sun, Dongbo Bu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms.

Bin Huang, Lupeng Kong, Chao Wang, Fusong Ju, Qi Zhang, Jianwei Zhu, Tiansu Gong, Haicang Zhang, Chungong Yu, Wei-Mou Zheng, Dongbo Bu

Genom. Proteom. Bioinform., 2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

CoRR, 2023

2022

ProALIGN: Directly Learning Alignments for Protein Structure Prediction via Exploiting Context-Specific Alignment Motifs.

Lupeng Kong, Fusong Ju, Wei-Mou Zheng, Jianwei Zhu, Shiwei Sun, Jinbo Xu, Dongbo Bu

J. Comput. Biol., 2022

Exploring evolution-based & -free protein language models as protein function predictors.

Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding

CoRR, 2022

Seq-SetNet: directly exploiting multiple sequence alignment for protein secondary structure prediction.

Fusong Ju, Jianwei Zhu, Qi Zhang, Guozheng Wei, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu

Bioinform., 2022

Exploring evolution-aware & -free protein language models as protein function predictors.

Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model.

Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu

CoRR, 2021

FALCON2: a web server for high-quality prediction of protein tertiary structures.

Lupeng Kong, Fusong Ju, Haicang Zhang, Shiwei Sun, Dongbo Bu

BMC Bioinform., 2021

Filling gaps of genome scaffolds via probabilistic searching optical maps against assembly graph.

Bin Huang, Guozheng Wei, Bing Wang, Fusong Ju, Yi Zhong, Zhuozheng Shi, Shiwei Sun, Dongbo Bu

BMC Bioinform., 2021

Co-evolution Transformer for Protein Contact Prediction.

He Zhang, Fusong Ju, Jianwei Zhu, Liang He, Bin Shao, Nanning Zheng, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

ISSEC: inferring contacts among protein secondary structure elements using deep object detection.

Qi Zhang, Jianwei Zhu, Fusong Ju, Lupeng Kong, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu

BMC Bioinform., 2020

2019

Seq-SetNet: Exploring Sequence Sets for Inferring Structures.

Fusong Ju, Jianwei Zhu, Guozheng Wei, Qi Zhang, Shiwei Sun, Dongbo Bu

CoRR, 2019

De novo glycan structural identification from mass spectra using tree merging strategy.

Fusong Ju, Jingwei Zhang, Dongbo Bu, Yan Li, Jinyu Zhou, Hui Wang, Yaojun Wang, Chuncui Huang, Shiwei Sun

Comput. Biol. Chem., 2019

Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.

Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu

BMC Bioinform., 2019

Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.

Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu

BMC Bioinform., 2019