Advances in Ultra-Coarse-Grained Models for Large Biomolecules

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Abstract

Recent advances in Ultra-Coarse-Graining (UCG) modeling for biological systems have improved both construction strategies and forcefield development. Empirical forcefields remain the primary choice for large systems due to their efficiency and ability to capture conformational dynamics, while non-restraining potentials and multiscale approaches have enhanced predictive capability for complex intermolecular interactions. Although bottom-up methods are currently limited by high parameterization costs, increasing physical interpretability and the growth of biomolecular trajectory databases are expected to make them more feasible and transferable in the future.

Author Biographies

  • Yuwei Zhang

    Jiangsu Key Laboratory of New Power Batteries, Jiangsu Collaborative Innovation Centre of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Wenyuan Road No. 1, Nanjing 210023, People’s Republic of China

    Key Laboratory of NSLSCS, Ministry of Education, Nanjing Normal University, Wenyuan Road No. 1, Nanjing 210023, People’s Republic of China

  • Fei Xia

    School of Chemistry and Molecular Engineering, NYU-ECNU Center for Computational Chemistry at NYU Shanghai, East China Normal University, Shanghai 200062, People’s Republic of China

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DOI

10.4208/cicc.2025.273.01

How to Cite

Advances in Ultra-Coarse-Grained Models for Large Biomolecules. (2026). Communications in Computational Chemistry, 8(1), 25-36. https://doi.org/10.4208/cicc.2025.273.01