Ling Wang

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deciphering the Atomic Mechanisms of Third-Generation Bisteric mTOR Inhibitors through Comparative Microsecond Molecular Dynamics Simulations.
J. Chem. Inf. Model.
Shipeng Zhang, Jintu Huang, Yuyin Yang, Chenxin Li, Congrui Wen, Yu Pang, Ling Wang
2025 J jnl
ADCNet: a unified framework for predicting the activity of antibody-drug conjugates.
Briefings Bioinform.
Liye Chen, Biaoshun Li, Yihao Chen, Mujie Lin, Shipeng Zhang, Chenxin Li, Yu Pang, Ling Wang
2025 J jnl
NA-DB: An Online Database of Nucleoside Analogues.
J. Chem. Inf. Model.
Haolin Luo, Ting Ran, Ling Wang, Hongming Chen
2025 J jnl
Self-awareness of retrosynthesis via chemically inspired contrastive learning for reinforced molecule generation.
Briefings Bioinform.
Yi Zhang, Jindi Huang, Xinze Li, Wenqi Sun, Nana Zhang, Jiquan Zhang, Tiegen Chen, Ling Wang
2024 J jnl
Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy.
J. Chem. Inf. Model.
Duancheng Zhao, Yanhong Zhang, Yihao Chen, Biaoshun Li, Wenguang Zhou, Ling Wang
2024 J jnl
MMSyn: A New Multimodal Deep Learning Framework for Enhanced Prediction of Synergistic Drug Combinations.
J. Chem. Inf. Model.
Yu Pang, Yihao Chen, Mujie Lin, Yanhong Zhang, Jiquan Zhang, Ling Wang
2023 J jnl
FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction.
Briefings Bioinform.
Biaoshun Li, Mujie Lin, Tiegen Chen, Ling Wang
2023 J jnl
HiGNN: A Hierarchical Informative Graph Neural Network for Molecular Property Prediction Equipped with Feature-Wise Attention.
J. Chem. Inf. Model.
Weimin Zhu, Yi Zhang, Duancheng Zhao, Jianrong Xu, Ling Wang
2022 J jnl
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction.
Briefings Bioinform.
Hanxuan Cai, Huimin Zhang, Duancheng Zhao, Jingxing Wu, Ling Wang
2022 J jnl
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction.
CoRR
Hanxuan Cai, Huimin Zhang, Duancheng Zhao, Jingxing Wu, Ling Wang
2022 J jnl
HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention.
CoRR
Weimin Zhu, Yi Zhang, Duancheng Zhao, Jianrong Xu, Ling Wang
2022 J jnl
VDDB: a comprehensive resource and machine learning platform for antiviral drug discovery.
CoRR
Shunming Tao, Yihao Chen, Jingxing Wu, Duancheng Zhao, Hanxuan Cai, Ling Wang
2021 J jnl
A comprehensive comparative assessment of 3D molecular similarity tools in ligand-based virtual screening.
Briefings Bioinform.
Zhenla Jiang, Jianrong Xu, Aixia Yan, Ling Wang
2019 J jnl
EK-DRD: A Comprehensive Database for Drug Repositioning Inspired by Experimental Knowledge.
J. Chem. Inf. Model.
Chongze Zhao, Xi Dai, Yecheng Li, Qingqing Guo, Jianhua Zhang, Xiaotong Zhang, Ling Wang
2019 J jnl
HybridMolDB: A Manually Curated Database Dedicated to Hybrid Molecules for Chemical Biology and Drug Discovery.
J. Chem. Inf. Model.
Yecheng Li, Chongze Zhao, Jianhua Zhang, Shiyang Zhai, Boyan Wei, Ling Wang
2017 J jnl
HybridSim-VS: a web server for large-scale ligand-based virtual screening using hybrid similarity recognition techniques.
Bioinform.
Jinling Shang, Xi Dai, Yecheng Li, Marco Pistolozzi, Ling Wang
2017 J jnl
RADER: a RApid DEcoy Retriever to facilitate decoy based assessment of virtual screening.
Bioinform.
Ling Wang, Xiaoqian Pang, Yecheng Li, Ziying Zhang, Wenan Tan