Published January 2016 | Version v1
Journal article

Improvements in continuum modeling for biomolecular systems

  • 1. State Key Laboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, National Centerfor Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, Beijing 100190 (China)

Description

Modeling of biomolecular systems plays an essential role in understanding biological processes, such as ionic flow across channels, protein modification or interaction, and cell signaling. The continuum model described by the Poisson– Boltzmann (PB)/Poisson–Nernst–Planck (PNP) equations has made great contributions towards simulation of these processes. However, the model has shortcomings in its commonly used form and cannot capture (or cannot accurately capture) some important physical properties of the biological systems. Considerable efforts have been made to improve the continuum model to account for discrete particle interactions and to make progress in numerical methods to provide accurate and efficient simulations. This review will summarize recent main improvements in continuum modeling for biomolecular systems, with focus on the size-modified models, the coupling of the classical density functional theory and the PNP equations, the coupling of polar and nonpolar interactions, and numerical progress. (topical review)

Availability note (English)

Available from http://dx.doi.org/10.1088/1674-1056/25/1/018705

Additional details

Publishing Information

Journal Title
Chinese Physics. B
Journal Volume
25
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1674-1056