Haicang Zhang

According to our database, Haicang Zhang authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

GPCR-BSD: a database of binding sites of human G-protein coupled receptors under diverse states.

Fan Liu, Han Zhou, Xiaonong Li, Liangliang Zhou, Chungong Yu, Haicang Zhang, Dongbo Bu, Xinmiao Liang

BMC Bioinform., December, 2024

Accurate and robust protein sequence design with CarbonDesign.

Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang

Nat. Mac. Intell., 2024

Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints.

Tian Zhu, Milong Ren, Haicang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model.

Milong Ren, Tian Zhu, Haicang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Accurate and efficient protein sequence design through learning concise local environment of residues.

Bin Huang, Tingwen Fan, Kaiyue Wang, Haicang Zhang, Chungong Yu, Shuyu Nie, Yangshuo Qi, Wei-Mou Zheng, Jian Han, Zheng Fan, Shiwei Sun, Sheng Ye, Huaiyi Yang, Dongbo Bu

Bioinform., March, 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

Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model.

Shiwei Liu, Tian Zhu, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Predicting functional effect of missense variants using graph attention neural networks.

Haicang Zhang, Michelle S. Xu, Xiao Fan, Wendy K. Chung, Yufeng Shen

Nat. Mac. Intell., November, 2022

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

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

Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling.

Chao Wang, Yi Wei, Haicang Zhang, Lupeng Kong, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu

BMC Bioinform., 2019

2017

Improving prediction of burial state of residues by exploiting correlation among residues.

Hai'e Gong, Haicang Zhang, Jianwei Zhu, Chao Wang, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu

BMC Bioinform., 2017

Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts.

Jianwei Zhu, Haicang Zhang, Shuai Cheng Li, Chao Wang, Lupeng Kong, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu

Bioinform., 2017

2016

FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition.

Chao Wang, Haicang Zhang, Wei-Mou Zheng, Dong Xu, Jianwei Zhu, Bing Wang, Kang Ning, Shiwei Sun, Shuai Cheng Li, Dongbo Bu

Bioinform., 2016

2014

On the inapproximability of minimizing cascading failures under the deterministic threshold model.

Lei Nie, Jingjie Liu, Haicang Zhang, Zhiwei Xu

Inf. Process. Lett., 2014