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Chemical Biology & Drug Design|October 22, 2025
Deep Learning for Drug-Target Interaction Prediction: A Comprehensive ReviewYingjun Chen, Ding Luo, Weiwei XueJournal of Chemical Information and Modeling|September 26, 2025
CNSGT: Generative Transformer for De Novo Drug Design Targeting the Central Nervous SystemYingjun Chen, Ding Luo, Shengneng Chen, et al.ACS Chemical Neuroscience|February 10, 2026
Machine Learning for De Novo Molecular Generation: A Comprehensive ReviewYingjun Chen, Weiwei XueJournal of Computer-Aided Molecular Design|December 26, 2024
ConoDL: a deep learning framework for rapid generation and prediction of conotoxinsMenghan Guo, Zengpeng Li, Xuejin Deng, et al.Current Medicinal Chemistry|June 5, 2023
Computational Protein Design - Where it goes?Binbin Xu, Yingjun Chen, Weiwei XueDrug Discovery Today|February 23, 2026
Large language models for molecular design: bridging the gap between chemical syntax and biological semanticsYingjun Chen, Xinheng Guo, Weiwei XueTrends in Pharmacological Sciences|October 29, 2025
Discovering next-generation dopamine transporter drugs with lower abuse potentialDing Luo, Zerong Liu, Weiwei XueACS Chemical Neuroscience|March 13, 2025
Molecular Generation for CNS Drug Discovery and DesignShengneng Chen, Ding Luo, Weiwei XueJournal of Chemical Information and Modeling|May 13, 2024
CNSMolGen: A Bidirectional Recurrent Neural Network-Based Generative Model for De Novo Central Nervous System Drug DesignRongpei Gou, Jingyi Yang, Menghan Guo, et al.Current Medicinal Chemistry|July 3, 2025
Structural Model of the Oncostatin M (OSM)-OSMRβ-gp130 Ternary Complex Reveals Pathways of Allosteric Communication in OSM SignalingQingqing Du, Ding Luo, Yan Qian, et al.Pageof 47