Xiaolin Cheng

Xiaolin Cheng's research uses computational and structural biology methods to understand how proteins work and to design new molecules that interact with them, including peptide inhibitors, ligands, and ion channel modulators. This work combines molecular dynamics simulations, machine learning, and biochemistry to study protein structure, drug binding, and cell membrane behavior, with applications ranging from cancer signaling to pest control and drug design. Prospective students would likely engage with computational chemistry, structural modeling, and generative AI tools applied to biomedical and biochemical problems.

Publication output was moderate and somewhat variable from 2017-2023, then increased sharply in 2024-2025, suggesting a growing and currently very active research output.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026