Liangzhen Zheng

14 papers A* 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Could statistical potential models achieve comparable or better performance than deep learning models? Briefings Bioinform. Zhihao Wang, Sheng Wang, Jingjing Guo, Yuguang Mu, Xiangdong Liu, Liangzhen Zheng, Weifeng Li
2025	J	`jnl`	Evaluations of the Perturbation Resistance of the Deep-Learning-Based Ligand Conformation Optimization Algorithm. J. Chem. Inf. Model. Minghui Xin, Zechen Wang, Zhihao Wang, Yuanyuan Qu, Yanmei Yang, Yong-Qiang Li, Ming-Wen Zhao, Liangzhen Zheng, Yuguang Mu, Weifeng Li
2025	—	`conf`	Learning the native-like codons with a 5'UTR and RNA secondary structure aided species-informed transformer model. BCB Qiuyue Hu, Rui Zhou, Zhihao Wang, Liangzhen Zheng, Yanjie Wei
2025	J	`jnl`	zERExtractor:An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature. CoRR Rui Zhou, Haohui Ma, Tianle Xin, Lixin Zou, Qiuyue Hu, Hongxi Cheng, Mingzhi Lin, Jingjing Guo, Sheng Wang, Guoqing Zhang, Yanjie Wei, Liangzhen Zheng
2024	J	`jnl`	A new paradigm for applying deep learning to protein-ligand interaction prediction. Briefings Bioinform. Zechen Wang, Sheng Wang, Yangyang Li, Jingjing Guo, Yanjie Wei, Yuguang Mu, Liangzhen Zheng, Weifeng Li
2024	J	`jnl`	Fully Flexible Molecular Alignment Enables Accurate Ligand Structure Modeling. J. Chem. Inf. Model. Zhihao Wang, Fan Zhou, Zechen Wang, Qiuyue Hu, Yong-Qiang Li, Sheng Wang, Yanjie Wei, Liangzhen Zheng, Weifeng Li, Xiangda Peng
2024	J	`jnl`	OpenDock: a pytorch-based open-source framework for protein-ligand docking and modelling. Bioinform. Qiuyue Hu, Zechen Wang, Jintao Meng, Weifeng Li, Jingjing Guo, Yuguang Mu, Sheng Wang, Liangzhen Zheng, Yanjie Wei
2023	J	`jnl`	A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function. Briefings Bioinform. Zechen Wang, Liangzhen Zheng, Sheng Wang, Mingzhi Lin, Zhihao Wang, Adams Wai-Kin Kong, Yuguang Mu, Yanjie Wei, Weifeng Li
2023	J	`jnl`	Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design. Nat. Mac. Intell. Hilbert Yuen In Lam, Robbe Pincket, Hao Han, Xing Er Ong, Zechen Wang, Jamie Hinks, Yanjie Wei, Weifeng Li, Liangzhen Zheng, Yuguang Mu
2022	A*	`conf`	Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation. AAAI Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui
2022	J	`jnl`	E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction. CoRR Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li
2022	J	`jnl`	Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term. Briefings Bioinform. Liangzhen Zheng, Jintao Meng, Kai Jiang, Haidong Lan, Zechen Wang, Mingzhi Lin, Weifeng Li, Hongwei Guo, Yanjie Wei, Yuguang Mu
2021	J	`jnl`	tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. CoRR Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang
2019	—	`ch.`	Molecular Dynamics and Simulation. Encyclopedia of Bioinformatics and Computational Biology (2) Liangzhen Zheng, Amr Alhossary, Chee-Keong Kwoh, Yuguang Mu