The continuous evolution of biomolecular force fields.

Journal: Structure (London, England : 1993)
Published Date:

Abstract

Biomolecular force fields have continuously evolved to improve their accuracy and broaden their applications in biological and therapeutic discoveries. The rapid adaptation of advanced computational technology, in particular the recent deep learning revolution, has led to an unprecedented ability to model and simulate biomolecules, as well as new opportunities in force field parametrization. Here, we provide an overview of the current state of the art in biomolecular force fields, covering polarizable force fields, machine learning potentials, and coarse-grained models. We highlight key advances, identify emerging challenges, and explore future directions for improving biomolecular modeling through interdisciplinary approaches.

Authors

  • Xiaoli Lu
    Information and Networking Center, XiaMen University, No. 422, Siming South Road, XiaMen, 361005, Fujian, China.
  • Jinfeng Chen
    Department of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, Shenzhen, 518038, Guangdong Province, People's Republic of China.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.