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Liangzhen Zheng
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2020 – today
- 2024
- [j5]Zechen Wang, Sheng Wang, Yangyang Li, Jingjing Guo, Yanjie Wei, Yuguang Mu, Liangzhen Zheng, Weifeng Li:
A new paradigm for applying deep learning to protein-ligand interaction prediction. Briefings Bioinform. 25(3) (2024) - [j4]Zhihao Wang, Fan Zhou, Zechen Wang, Qiuyue Hu, Yong-Qiang Li, Sheng Wang, Yanjie Wei, Liangzhen Zheng, Weifeng Li, Xiangda Peng:
Fully Flexible Molecular Alignment Enables Accurate Ligand Structure Modeling. J. Chem. Inf. Model. 64(15): 6205-6215 (2024) - 2023
- [j3]Zechen Wang, Liangzhen Zheng, Sheng Wang, Mingzhi Lin, Zhihao Wang, Adams Wai-Kin Kong, Yuguang Mu, Yanjie Wei, Weifeng Li:
A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function. Briefings Bioinform. 24(1) (2023) - [j2]Hilbert Yuen In Lam, Robbe Pincket, Hao Han, Xing Er Ong, Zechen Wang, Jamie Hinks, Yanjie Wei, Weifeng Li, Liangzhen Zheng, Yuguang Mu:
Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design. Nat. Mac. Intell. 5(7): 754-764 (2023) - 2022
- [j1]Liangzhen Zheng, Jintao Meng, Kai Jiang, Haidong Lan, Zechen Wang, Mingzhi Lin, Weifeng Li, Hongwei Guo, Yanjie Wei, Yuguang Mu:
Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term. Briefings Bioinform. 23(3) (2022) - [c1]Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui:
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation. AAAI 2022: 4620-4627 - [i2]Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li:
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction. CoRR abs/2207.01586 (2022) - 2021
- [i1]Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang:
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. CoRR abs/2105.04350 (2021)
2010 – 2019
- 2019
- [r1]Liangzhen Zheng, Amr Alhossary, Chee-Keong Kwoh, Yuguang Mu:
Molecular Dynamics and Simulation. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 550-566
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