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合作作者[TOP 5]

  • Zheng, Mingyue

    合作成果数：7

  • Cao, Duanhua

    合作成果数：6

  • Li, Xutong

    合作成果数：6

  • Zhang, Runze

    合作成果数：6

  • Zhang, Wei

    合作成果数：6
陈铭安 博士生
所在学院： 物质科学与技术学院
职务： --
研究方向：
备注： --
陈铭安

科研成果

8 1641 168 25 0 3
Items Views Downloads TC[WOS] TC[CSCD] H-index
排序方式：
 [1] Cao, Duanhua.,Chen, Mingan.,Zhang, Runze.,Wang, Zhaokun.,Huang, Manlin.,...&Zheng, Mingyue.(2024).SurfDock is a surface-informed diffusion generative model for reliable and accurate protein-ligand complex prediction.NATURE METHODS.浏览/下载:313/75; 被引[WOS]:2; IF:36.1/45.6评论推荐收藏
 [2] Cao, Duanhua.,Chen, Geng.,Jiang, Jiaxin.,Yu, Jie.,Zhang, Runze.,...&Zheng, Mingyue.(2024).Generic protein-ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling.NATURE MACHINE INTELLIGENCE,6(6),688-700.浏览/下载:191/0; 被引[WOS]:6; IF:18.8/26.4评论推荐收藏
 [3] Zhang, Wei.,Wang, Qinggong.,Kong, Xiangtai.,Xiong, Jiacheng.,Ni, Shengkun.,...&Zheng, Mingyue.(2024).Fine-tuning large language models for chemical text mining.CHEMICAL SCIENCE,15(27),10600-10611.浏览/下载:199/1; 被引[WOS]:11; IF:7.6/8.0评论推荐收藏
 [4] Zhang, Runze,Jiang, Xinyu,Cao, Duanhua,et al. PackDock: a Diffusion Based Side Chain Packing Model for Flexible Protein-Ligand Docking. 2024.浏览/下载:165/20; 被引[WOS]:0评论推荐收藏
 [5] Fan, Zhehuan.,Yu, Jie.,Zhang, Xiang.,Chen, Yijie.,Sun, Shihui.,...&Wang, Dingyan.(2024).Reducing overconfident errors in molecular property classification using Posterior Network.PATTERNS,5(6).浏览/下载:146/0; 被引[WOS]:0; IF:6.7/6.6评论推荐收藏
 [6] Mingan Chen.,Xinyu Jiang.,Lehan Zhang.,Xiaoxu Chen.,Yiming Wen.,...&Mingyue Zheng.(2024).The emergence of machine learning force fields in drug design.MEDICINAL RESEARCH REVIEWS.浏览/下载:169/8; 被引[WOS]:6评论推荐收藏
 [7] Zhang, Wei,Wang, Qinggong,Kong, Xiangtai,et al. Fine-tuning ChatGPT Achieves State-of-the-Art Performance for Chemical Text Mining. 2023.浏览/下载:260/64; 被引[WOS]:0评论推荐收藏
 [8] Cao, Duanhua,Chen, Geng,Jiang, Jiaxin,et al. EquiScore: A generic protein-ligand interaction scoring method integrating physical prior knowledge with data augmentation modeling. 2023.浏览/下载:198/0; 被引[WOS]:0评论推荐收藏