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康玉
yukang@zju.edu.cn
中文, 英语
浙江
浙江大学
Pharmaceutical Sciences
计算机辅助药物设计
分子模拟与机器学习
  • AMGC is a multiple-task graph neutral network for epigenetic target profiling, Gu S, Bao L, Yang Y, Zhao Y, Tong HHY, Liu L, Liu H, Hou T, Kang Y, 2024
  • Learning on topological surface and geometric structure for 3D molecular generation, Zhang O, Wang T, Weng G, Jiang D, Wang N, Wang X, Zhao H, Wu J, Wang E, Chen G, Deng Y, Pan P, Kang Y, Hsieh C-Y, Hou T, 2023
  • FFLOM: A Flow-Based Autoregressive Model for Fragment-to-Lead Optimization, Jin J, Wang D, Shi G, Bao J, Wang J, Zhang H, Pan P, Li D, Yao X, Liu H, Hou T, Kang Y, 2023
  • Boosting Protein–Ligand Binding Pose Prediction and Virtual Screening Based on Residue-Atom Distance Likelihood Potential and Graph Transformer, Shen C, Zhang X, Deng Y, Gao J, Wang D, Xu L, Pan P, Hou T, Kang Y, 2022
  • TB-IECS: An accurate machine learning-based scoring function for virtual screening, Zhang X, Shen C, Jiang D, Zhang J, Ye Q, Xu L, Hou T, Pan P, Kang Y, 2023
  • SDEGen: Learning to Evolve Molecular Conformations from Thermodynamic Noise for Conformation Generation, Zhang H, Li S, Zhang J, Wang Z, Wang J, Jiang D, Bian Z, Zhang Y, Deng Y, Song J, Kang Y, Hou T, 2023
  • Sigmoid Accelerated Molecular Dynamics: An Efficient Enhanced Sampling Method for Biosystems, Zhao Y, Zhang J, Zhang H, Gu S, Deng Y, Tu Y, Hou T, Kang Y, 2023
  • Can molecular dynamics simulations improve predictions of protein-ligand binding affinity with machine learning?, Gu S, Shen C, Yu J, Zhao H, Liu H, Liu L, Sheng R, Xu L, Wang Z, Hou T, Kang Y, 2023
  • 基于深度学习的全新药物设计研究进展, Wang MY, Li D, Hou TJ, Kang Y, 2023
  • Discovery of novel non-nucleoside inhibitors with high potency and selectivity for DNA methyltransferase 3A, Yu J, Chai X, Pang J, Wang Z, Zhao H, Xie T, Xu L, Sheng R, Li D, Zeng S, Hou T, Kang Y, 2022
  • Integrative Modeling of PROTAC-Mediated Ternary Complexes, Weng G, Li D, Kang Y, Hou T, 2021
  • Bacteriophage tailspikes and bacterial O-antigens as a model system to study weak-affinity protein-polysaccharide interactions, Kang Y, Gohlke U, Engström O, Hamark C, Scheidt T, Heinemann U, Widmalm G, Santer M, Barbirz S, 2016
药物设计 计算生物学 机器学习 分子模拟 虚拟筛选 评分函数 蛋白质-配体结合 图神经网络 增强采样 药物代谢

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