Xingcheng Lin
Bio
Dr. Lin will join the Physics Department of North Carolina State University in August
of 2023 and will also be affiliated with the Bioinformatics Cluster of the Chancellor’s
Faculty Excellence Program. He received his Ph.D. in Biological Physics from the
Center for Theoretical Biological Physics and the Physics Department at Rice
University. As a graduate student, he utilized both atomistic and coarse-grained-level
simulations to study the molecular mechanism behind the invasion of influenza
viruses. Additionally, he developed simulation-based tools for characterizing folded
protein structures and simulating intrinsically disordered proteins. Dr. Lin conducted
postdoctoral research at the Chemistry Department of Massachusetts Institute of
Technology, where he expanded his research interests to the chromatin system.
There, he used coarse-grained modeling to study the organization of chromatin and
its regulation by chromatin-regulating proteins.
Area(s) of Expertise
Our research group will employ computational modeling and simulation techniques to investigate the fundamental mechanisms of epigenetic regulation – the “dark matter” of the human genome. Leveraging an ever-increasing amount of structural and sequence data, and integrating principles of physics and chemistry, our team is dedicated to developing innovative models to explore the dynamics and functions of biomolecules critical to the organization and functions of genome and epigenome, which will pinpoint potential ways to treat diseases caused by epigenetic dysregulation. In addition, we are broadly interested in other biomolecular systems with significant applications in biomedical research and therapeutics.
Publications
- A biophysical framework for accurately identifying antigen single-amino acid escape variants and corresponding variant-specific compensatory TCR sequences , bioRxiv (Cold Spring Harbor Laboratory) (2026)
- Active regulation of the epidermal growth factor receptor by the membrane bilayer , (2026)
- Active regulation of the epidermal growth factor receptor by the membrane bilayer , eLife (2026)
- BPS2026 – Integrating sparse sequence, experimental, and AI-predicted structures for protein-nucleic acid interaction predictions , Biophysical Journal (2026)
- FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics , Open MIND (2026)
- Active regulation of the epidermal growth factor receptor by the membrane bilayer , bioRxiv (Cold Spring Harbor Laboratory) (2025)
- Active regulation of the epidermal growth factor receptor by the membrane bilayer , (2025)
- Active regulation of the epidermal growth factor receptor by the membrane bilayer , eLife (2025)
- Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens , bioRxiv (Cold Spring Harbor Laboratory) (2025)
- Characterizing DNA recognition preferences of transcription factors using global couplings and high-throughput sequencing , Nucleic Acids Research (2025)