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Nature Machine Intelligence|July 4, 2024
Calibrated geometric deep learning improves kinase-drug binding predictionsYunan Luo, Yang Liu, Jian PengPlos Computational Biology|September 5, 2019
Integrating thermodynamic and sequence contexts improves protein-RNA binding predictionYufeng Su, Yunan Luo, Xiaoming Zhao, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of actionYunan Luo, Sheng Wang, Jinfeng Xiao, et al.Plos Computational Biology|August 4, 2021
Deep geometric representations for modeling effects of mutations on protein-protein binding affinityXianggen Liu, Yunan Luo, Pengyong Li, et al.Bioinformatics (Oxford, England)|July 17, 2018
Metagenomic binning through low-density hashingYunan Luo, Yun William Yu, Jianyang Zeng, et al.Nature Communications|October 1, 2021
ECNet is an evolutionary context-integrated deep learning framework for protein engineeringYunan Luo, Guangde Jiang, Tianhao Yu, et al.Nature Communications|December 20, 2025
Generalizable and scalable protein stability prediction with rewired protein generative modelsZiang Li, Yunan LuoPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Contrastive learning of protein representations with graph neural networks for structural and functional annotationsJiaqi Luo, Yunan LuoBiorxiv : the Preprint Server for Biology|March 3, 2025
Rewiring protein sequence and structure generative models to enhance protein stability predictionZiang Li, Yunan LuoBiorxiv : the Preprint Server for Biology|March 3, 2025
Learning maximally spanning representations improves protein function annotationJiaqi Luo, Yunan LuoPageof 2,507