Xiaorong Liu
Assistant Professor
- Email:
- xiaorongl@unm.edu
- Office:
- Clark Hall 230
Research Area/s:
Theoretical and Computational Chemistry, Chemical Biology and Biochemistry, Medicinal Chemistry, Molecular Biophysics, Physical Chemistry
Research Interests:
- Theoretical and Computational Chemistry
- Chemical Biology and Biochemistry
- Molecular Biophysics
- Physical Chemistry
Education
05/2019 Ph.D. in Chemistry, University of Massachusetts Amherst
08/2014 M.A. in Chemistry and Biochemistry, University of Delaware
06/2012 M.Sc. in Chemical Biology, Wuhan University (China)
06/2010 B.Sc. in Applied Chemistry, Wuhan University (China)
Academic Appointments
08/2024 – Now Assistant Professor, University of New Mexico
09/2020 – 08/2024 Research Fellow, University of Michigan
07/2019 – 08/2020 Postdoctoral Fellow, University of Massachusetts Amherst
Research
We are interested in developing and applying computational methods to understand how biomolecules perform their versatile functions, and to effectively guide the design of small-molecule drugs, biologics, and functional proteins. Ongoing projects in the group include:
- Develop novel, highly accurate, and high-throughput free energy methods
- Design potent and selective small molecules in targeted cancer therapy
- Design therapeutic peptides targeting molecular chaperones
- Understand and engineer transcription factors for DNA recognition
Selected Publications
Free energy calculations:
- Xiaorong Liu and Charles L. Brooks III. Enhanced Sampling of Buried Charges in Free Energy Calculations using Replica Exchange with Charge Tempering. J. Chem. Theory Comput., 2024, 20, 3, 1051-1061.
- Xiaorong Liu, Pui Ki Tsang, Matthew B Soellner, and Charles L Brooks III. QSAR via Multi-Site λ-Dynamics in the orphaned TSSK1B Kinase. Protein Science, 2023, 32(4): e4623.
Enhanced sampling methods for intrinsically disordered proteins:
- Yumeng Zhang, Xiaorong Liu* (co-corresponding author) and Jianhan Chen*. Re-balancing replica exchange with solute tempering for sampling dynamic protein conformations. J. Chem. Theory Comput., 2023, 19(5), 1602-1614.
- Xiaorong Liu, Xiping Gong and Jianhan Chen. Accelerating atomistic simulations of proteins using multiscale enhanced sampling with independent tempering. Journal of Computational Chemistry, 2021, 42(5): 358-364.
Coarse-grained protein models:
- Yumeng Zhang, Xiaorong Liu* (co-corresponding author) and Jianhan Chen*. Toward accurate coarse-grained simulations of disordered proteins and their dynamic interactions. J. Chem. Inf. Model. 2022, 62(18): 4523-4536.
- 2. Xiaorong Liu and Jianhan Chen. HyRes: a coarse-grained model for multi-scale enhanced sampling of disordered protein conformations. Chem. Chem. Phys., 2017,19: 32421-32432.
Software development:
- Joshua Buckner, Xiaorong Liu, Arghya Chakravorty, Yujin Wu, Luis Cervantes, Thanh Lai and Charles L. Brooks III. pyCHARMM: Embedding CHARMM Functionality in a Python Framework. J. Chem. Theory Comput., 2023, 19(12), 3752–3762.