Haipeng Gong
hgong@tsinghua.edu.cn
Chinese, English
Beijing
Tsinghua University
Life Sciences
  • 1993-1997 Bachelor: Tsinghua University, Department of Biological Sciences and Technology
  • 1997-2000 Master: Tsinghua University, Department of Biological Sciences and Technology
  • 2000-2006 PhD: Johns Hopkins University, Molecular Biophysics
  • 2006-2007 Postdoctoral Researcher: Johns Hopkins University, Molecular Biophysics
  • 2007-2009 Postdoctoral Researcher: University of Chicago, Biochemistry and Molecular Biology
  • 2009-2014 - Tsinghua University, School of Life Sciences - Assistant Professor
  • 2015-Present - Tsinghua University, School of Life Sciences - Associate Professor
Development of computational algorithms for predicting protein 3D structures from amino acid sequences
Development of new methods in molecular dynamics simulations for quantitative analysis of large-scale conformational changes in biomolecules
  • Predicting the real-valued inter-residue distances for proteins, Wenze Ding and Haipeng Gong, 2020
  • Frontier Expansion Sampling: A Method to Accelerate Conformational Search by Identifying Novel Seed Structures for Restart, Juanrong Zhang and Haipeng Gong, 2020
  • AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction, Wenzhi Mao, Wenze Ding, Yaoguang Xing, and Haipeng Gong, 2020
  • Improved fragment sampling for ab initio protein structure prediction using deep neural networks, Tong Wang, Yanhua Qiao, Wenze Ding, Wenzhi Mao, Yaoqi Zhou, and Haipeng Gong, 2019
  • Molecular determinants for the thermodynamic and functional divergence of uniporter GLUT1 and proton symporter XylE, Meng Ke, Yafei Yuan, Xin Jiang, Nieng Yan, and Haipeng Gong, 2017
  • Simulating the activation of voltage sensing domain for a voltage-gated sodium channel using polarizable force field, Ruining Sun and Haipeng Gong, 2017
Computational Algorithms Protein Structure Prediction Amino Acids 3D Structure Molecular Dynamics Simulation Quantitative Analysis Biomolecules Conformational Changes Large-Scale Analysis

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.