SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome. - Lun Yang; Heng Luo 002; Jian Chen; Qinghe Xing; Lin He 007 (Nucleic Acids Res., 2009)

DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical-protein interactome. - Heng Luo 002; Jian Chen; Leming Shi; Mike Mikailov; Huang Zhu; Kejian Wang; Lin He 007; Lun Yang (Nucleic Acids Res., 2011)

Exploring Off-Targets and Off-Systems for Adverse Drug Reactions via Chemical-Protein Interactome - Clozapine-Induced Agranulocytosis as a Case Study. - Lun Yang; Kejian Wang; Jian Chen; Anil G. Jegga; Heng Luo 002; Leming Shi; Chunling Wan; Xizhi Guo; Shengying Qin; Guang He; Guoyin Feng; Lin He 007 (PLoS Comput. Biol., 2011)

Haystack, a web-based tool for metabolomics research. - Stephen C. Grace; Stephen Embry; Heng Luo 002 (BMC Bioinform., 2014)

Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists. - Hui Wen Ng; Wenqian Zhang; Mao Shu; Heng Luo 002; Weigong Ge; Roger Perkins; Weida Tong; Huixiao Hong (BMC Bioinform., 2014)

Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population. - Wenqian Zhang; Joe Meehan; Zhenqiang Su; Hui Wen Ng; Mao Shu; Heng Luo 002; Weigong Ge; Roger Perkins; Weida Tong; Huixiao Hong (BMC Bioinform., 2014)

DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome. - Heng Luo 002; Ping Zhang 016; Hui Huang; Jialiang Huang; Emily Kao; Leming Shi; Lin He 007; Lun Yang (Nucleic Acids Res., 2014)

Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis. - Heng Luo 002; Hao Ye; Hui Wen Ng; Leming Shi; Weida Tong; William Mattes; Donna Mendrick; Huixiao Hong (BMC Bioinform., 2015)

DrugPathSeeker: Interactive UI for exploring drug-ADR relation via pathways. - Janu Verma; Heng Luo 002; Jianying Hu; Ping Zhang 016 (PacificVis, 2017)

An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Sanjoy Dey; Arun Iyengar; Ping Zhang 016 (AMIA, 2018)

Interpretable Drug Target Prediction Using Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Arun Iyengar; Sanjoy Dey; Ping Zhang 016 (IJCAI, 2018)

Predicting adverse drug reactions through interpretable deep learning framework. - Sanjoy Dey; Heng Luo 002; Achille Fokoue; Jianying Hu; Ping Zhang 016 (BMC Bioinform., 2018)

Systematic analysis of drug combinations that mitigate adverse drug reactions. - J. Shim; Heng Luo 002; Ping Zhang 016; Ying Li 053 (IBM J. Res. Dev., 2018)

Combining Docking Pose Rank and Structure with Deep Learning Improves Protein-Ligand Binding Mode Prediction over a Baseline Docking Approach. - Joseph A. Morrone; Jeffrey K. Weber; Tien Huynh; Heng Luo 002; Wendy D. Cornell (J. Chem. Inf. Model., 2020)

DDI-GCN: Drug-drug interaction prediction via explainable graph convolutional networks. - Yi Zhong; Houbing Zheng; Xiaoming Chen; Yu Zhao; Tingfang Gao; Huiqun Dong; Heng Luo 002; Zuquan Weng (Artif. Intell. Medicine, 2023)

Learning motif-based graphs for drug-drug interaction prediction via local-global self-attention. - Yi Zhong; Gaozheng Li; Ji Yang; Houbing Zheng; Yongqiang Yu; Jiheng Zhang; Heng Luo 002; Biao Wang; Zuquan Weng (Nat. Mac. Intell., 2024)