Research Interests

My General research interest is to explore the physics principles underlying life systems and apply them to improve health. To address this goal, I’m mainly investigating and modeling the interaction in biomolecules by developing force fields.

Current Project

• Development of Machine Learning Force Fields

  

  NepoIP/MM is an open-source code for performing accurate ML/MM MD simulation with electrostatic embedding.

  To perform NepoIP/MM MD simulation, see Yang-Laboratory/NepoIP: An open-source neural network for performing accurate ML/MM MD simulation with electrostatic embedding.

Previous Work

• Automatic Sleep Stage Classification by Neural Networks

  Preprint article: [2407.04753] Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health (arxiv.org)

  Web server software (Old version of SleepViTNet) : CalvinGe/Web-SleepViTNet (github.com)

• Development of Force Fields for Phospho-proteins

  GitHub - HFChenLab/FB18CMAP: FB18CMAP force field parameter

  

• Development of Force Fields for RNAs

  

• Computer-aided Drug Design