【TITLE & POSITION】Professor

【ACADEMIC APPOINTMENTS】ACS membership

【CONTACT INFORMATION】E-mail: meihu@cqu.edu.cn;

【PERSONAL PROFILE】

Dr. Hu Mei graduated from Chongqing University (Ph.D. in Bioengineering, 2005.06). After the completion of postdoctoral research at National Center for Toxicological Research of U.S. FDA, he joined Chongqing University (2005.07) to carry out teaching and scientific research works. Up to data, he has implemented a variety of research projects supported by Ministry of Science and Technology (MOST), National Natural Science Foundation of China (NSFC), and Chongqing Science and Technology Commission. He has published over 90 original papers in the journals such as PNAS, Toxicological Sciences, Journal of Chemical Information and Modeling, and European Journal of Medicinal Chemistry etc., and applied and obtained 5 patents of inventions. Based on years of teaching and scientific researches, he has won the second prize of the Ministry of Education of China and the first prize of teaching achievement award of Chongqing Municipal Education Commission.

Current courses taught by Dr. Hu Mei include ‘The Principle and Equipment of Bioengineering’ and ‘Drug Design’.

【RESEARCH INTERESTS】

1. Biological information and artificial intelligence: Based on gene/protein sequences, three-dimensional structures and interaction network, the relationships between the structures and function of proteins and molecular regulation mechanism are studied at the molecular level by using bioinformatics, molecular simulation and artificial intelligence technology,.

2. Drug design: The design and optimization of lead compounds, epitope vaccine design, the relationships between genetic polymorphism and pharmacokinetics/pharmacodynamics are studies by combining drug design with artificial intelligence techniques.

【REPRESENTATIVE PUBLICATIONS】

1. Heng Y, Kuang ZY, Huang SH, Chen LX, Shi TT, Xu L, Mei H. 2020. A Pan-Specific GRU-Based Recurrent Neural Network for Predicting HLA-I-Binding Peptides. Acs Omega 5: 18321-30

2. Shi TT, Yang YW, Huang SH, Chen LX, Kuang ZY, Heng Y, Mei H. 2019. Molecular image-based convolutional neural network for the prediction of ADMET properties. Chemometrics and Intelligent Laboratory Systems 194

3. Huang SH, Mei H, Chen LX, Shi TT, Kuang ZY, Heng Y, Zhang YH, Lu LC. 2019. Computational insight into the conformational transition of human toll-like receptor 8 in the agonist-induced activation processes. Journal of Biomolecular Structure & Dynamics  4. Pan X, Mei H, Qu S, Huang S, Sun J, Yang L, Chen H. 2016. Prediction and characterization of P-glycoprotein substrates potentially bound to different sites by emerging chemical pattern and hierarchical cluster analysis. Int J Pharm 502: 61-9

5. Liu T, Pan X, Chao L, Tan W, Qu S, Yang L, Wang B, Mei H. 2014. Subangstrom accuracy in pHLA-I modeling by Rosetta FlexPepDock refinement protocol. J Chem Inf Model 54: 2233-42