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2020 – today
- 2024
[j13]Fan Liu, Han Zhou, Xiaonong Li, Liangliang Zhou, Chungong Yu, Haicang Zhang, Dongbo Bu, Xinmiao Liang:
GPCR-BSD: a database of binding sites of human G-protein coupled receptors under diverse states. BMC Bioinform. 25(1): 343 (2024)- [j12]Milong Ren, Chungong Yu, Dongbo Bu
, Haicang Zhang:
Accurate and robust protein sequence design with CarbonDesign. Nat. Mac. Intell. 6(5): 536-547 (2024) - [c3]Milong Ren, Tian Zhu, Haicang Zhang:
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model. ICML 2024 - [c2]Tian Zhu, Milong Ren, Haicang Zhang:
Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints. ICML 2024 - 2023
- [j11]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:
Accurate and efficient protein sequence design through learning concise local environment of residues. Bioinform. 39(3) (2023) - [j10]Bin Huang, Lupeng Kong, Chao Wang, Fusong Ju, Qi Zhang, Jianwei Zhu, Tiansu Gong, Haicang Zhang, Chungong Yu, Wei-Mou Zheng, Dongbo Bu:
Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms. Genom. Proteom. Bioinform. 21(5): 913-925 (2023) - [c1]Shiwei Liu, Tian Zhu, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang:
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model. NeurIPS 2023 - [i2]Shiwei Liu, Tian Zhu, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang:
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model. CoRR abs/2310.19849 (2023) - 2022
- [j9]Haicang Zhang, Michelle S. Xu, Xiao Fan, Wendy K. Chung, Yufeng Shen:
Predicting functional effect of missense variants using graph attention neural networks. Nat. Mac. Intell. 4(11): 1017-1028 (2022) - 2021
- [j8]Lupeng Kong, Fusong Ju, Haicang Zhang, Shiwei Sun, Dongbo Bu:
FALCON2: a web server for high-quality prediction of protein tertiary structures. BMC Bioinform. 22(1): 439 (2021)
2010 – 2019
- 2019
- [j7]Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu:
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning. BMC Bioinform. 20(1): 537:1-537:11 (2019) - [j6]Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu:
Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning. BMC Bioinform. 20(1): 616:1-616:5 (2019) - [j5]Chao Wang, Yi Wei, Haicang Zhang, Lupeng Kong, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu:
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling. BMC Bioinform. 20-S(3): 99-108 (2019) - 2018
- [i1]Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Shiwei Sun, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu:
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning. CoRR abs/1809.00083 (2018) - 2017
- [j4]Jianwei Zhu, Haicang Zhang, Shuai Cheng Li, Chao Wang, Lupeng Kong, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu:
Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts. Bioinform. 33(23): 3749-3757 (2017) - [j3]Hai'e Gong, Haicang Zhang, Jianwei Zhu, Chao Wang, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu:
Improving prediction of burial state of residues by exploiting correlation among residues. BMC Bioinform. 18(S-3): 165-175 (2017) - 2016
- [j2]Chao Wang, Haicang Zhang, Wei-Mou Zheng, Dong Xu, Jianwei Zhu, Bing Wang, Kang Ning, Shiwei Sun, Shuai Cheng Li, Dongbo Bu:
FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition. Bioinform. 32(3): 462-464 (2016) - 2014
- [j1]Lei Nie, Jingjie Liu, Haicang Zhang, Zhiwei Xu:
On the inapproximability of minimizing cascading failures under the deterministic threshold model. Inf. Process. Lett. 114(1-2): 1-4 (2014)
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