刘昊

发布时间:2021-05-31

  姓名:刘昊

  性别:

  出生年月:1986年2月

  职称:讲师

  学历:博士研究生

  学位:理学博士

  电话:15827249991

  邮箱:haoliulh@163.com

 

  个人简历:

  · 讲师武汉理工大学                            2018.11—

  · 包装设计工程师Genentech Inc. (基因泰克公司)                   2017.06—2017.12

  · 包装工程师 ABF Freight System Inc. (ABF货运公司)               2017.01—2017.06

  · 包装学专业硕士Michigan State University(密歇根州立大学)          2015.08—2017.12                  

  · 化学专业博士University of Florida(佛罗里达大学)                2008.08—2013.12                      

  · 化学专业学士厦门大学                          2004.09—2008.06


  主要研究方向:

  算法开发,分子自由能模拟,机器学习,计算机辅助药物设计


  主要成果简述:

  1. Liu, H.; Deng, J.; Luo, Z.; Lin, Y; Merz Jr., K. M.; Zheng Z., Receptor−Ligand Binding Free Energies from a Consecutive Histograms Monte Carlo Sampling Method. J. Chem. Theory Comput. 2020, 16, 6645–6655.

  2. Xue, S.; Liu, H.; Zheng, Z.; Application of the Movable Type Free Energy Method to the Caspase-Inhibitor Binding Affinity Study. Int. J. Mol. Sci. 2019, 20: 4850-4868 

  3. Zheng, Z.; Borbulevych, O.Y.; Liu, H.; Deng, J.; Martin, R. I.; Westerhoff, L. M. MovableType Software for Fast Free Energy-Based Virtual Screening: Protocol Development, Deployment, Validation, and Assessment. J. Chem. Inf. Model. 2020, 60, 5437–5456

  4. Zheng, Z.; Pei, J.; Bansal, N; Liu, H.; Song, L. F.; Merz Jr., K. M.; Generation of Pairwise Potentials Using Multidimensional Data Mining. J. Chem. Theory Comput. 2018, 14, 5045−5067

  5. Forato, F.; Liu, H.; Benoit, R.; Fayon, F.; Charlier, C.; Fateh, A.; Defontaine, A.; Tellier, C.; Talham, D.; Queffélec, C.; Bujoli, B., Comparison of Zirconium Phosphonate-Modified Surfaces for Immobilizing Phosphopeptides and Phosphate-Tagged Proteins, Langmuir, 2016, 32 (22), 5480–5490.

  6. Liu, H.; Queffélec, C.; Charlier, C.; Defontaine, A.; Fateh, A.; Tellier, C.; Talham, D.; Bujoli, B., Design and Optimization of a Phosphopeptide Anchor for Specific Immobilization of a Capture Protein on Zirconium Phosphonate Modified Supports, Langmuir, 2014, 30 (46), 13949–13955.


  对研究生要求:有物理化学和生物化学基础,会python或者tensorflow编程语言,会Matlab