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肖飞

苏州医学院生命科学学院副教授

学位:博士

办公地址:403

毕业院校:复旦大学

联系电话:0512-65882235

电子邮箱:xiaofei@suda.edu.cn

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个人简介

研究领域

计算生物学、蛋白质结构与功能研究



开授课程

  • 1、生物信息学导论,生物相关专业
  • 2、计算机辅助药物发现,生物信息学专业
  • 3、生物信息基础实践,生物信息学专业
  • 4、生物信息技能训练,生物信息学专业

科研项目

论文

  • 1、protPheMut: An Interpretable Machine Learning Tool for Classification of Cancer and Neurodevelopmental Disorders in Human Missense Mutations,J. Chem. Inf. Model,SCI,2025,Jingran Wang,Miao Yang,Chang Zong,Fei Xiao, Guang Hu,Soochow University
  • 2、Machine Learning and Structural Dynamics-Based Approach to Reveal Molecular Mechanism of PTEN Missense Mutations Shared by Cancer and Autism Spectrum Disorder,J. Chem. Inf. Model.,SCI,2025,Miao Yang,Jingran Wang,Ziyun Zhou,Fei Xiao, Guang Hu,Soochow University
  • 3、Tyrosine phosphorylation of Kir6.2 subunit negatively regulates cardiac KATP channel activity.,Basic Res Cardiol.,SCI,2025,Zhi Y,Yang B,Huo J,Zhou YF, Xiao F, Yang HQ,Soochow University
  • 4、Comparative Simulative Analysis and Design of Single-Chain Self- Assembled Protein Cages.,J. Phys. Chem. B,SCI,2024,Fei Xiao ,Lomgfei Luo,Xin Liu,Roman Jerala, Guang Hu,Soochow University
  • 5、Functional insight into Cordyceps militaris sugar transporters by structure modeling, network analysis and allosteric regulation,Phys. Chem. Chem. Phys,SCI,2023,Xin Liu,Hanyang Zhang,Ziyun Zhou,Wanwipa Vongsangnak,Guang Hu, Fei Xiao,Soochow University
  • 6、Dissecting mutational allosteric effects in alkaline phosphatases associated with different Hypophosphatasia phenotypes: An integrative computational investigation,PLoS Comput Biol,SCI,2022,Fei Xiao,Ziyun Zhou,Xingyu Song,Guang Hu,Soochow University
  • 7、Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling,Frontiers in Pharmacology,SCI,2020,Wenying Yan,Xingyi Liu,Yibo Wang,Fei Xiao, Guang Hu,Soochow University
  • 8、Probing Carbon Utilization of Cordyceps militaris by Sugar Transportome and Protein Structural Analysis,Cells,SCI,2020,Xiao Fei,Sirithep Kanokwadee,Raethong Nachon,Laoteng Kobkul, Hu Guang, Vongsangnak Wanwipa

科研成果

软件著作 专利
  • 1、机器学习辅助的整合蛋白质突变表型效应预测方法,YV20241104009451,苏州大学,肖飞,王景然,胡广,发明专利,已申请

荣誉及奖励

招生信息