Abstract
Coarse-grained (CG) model has been a powerful tool in bridging the gap between theoretical studies and experimental phenomena in biological computing field. The reconstruction from a CG model to an atomic-detail structure is especially important in CG studies of biological systems. In this work, a rigid-fragment- and local-frame-based (RF-LF) backmapping method was proposed to achieve reverse mapping from CG models to atomic-level structures. The initial atomic-level structures were further refined to yield the final backmapping ones. With the popular Martini force field, the performance of the RF-LF method was extensively examined in the CG → AA (CG to AA) backmapping of protein/DNA/RNA systems. Besides, the RF-LF method was also extended to the backmapping of the TMFF model. Numerical results illustrate that the RF-LF backmapping method is generic and parameter-free and can provide a promising way to tackle atomic-level studies in CG models.
Original language | English (US) |
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Article number | 31 |
Journal | Journal of Molecular Modeling |
Volume | 26 |
Issue number | 2 |
DOIs | |
State | Published - Feb 1 2020 |
Keywords
- CG → AA backmapping
- Coarse-grained model
- Local frame
- Martini force field
ASJC Scopus subject areas
- Catalysis
- Computer Science Applications
- Physical and Theoretical Chemistry
- Organic Chemistry
- Inorganic Chemistry
- Computational Theory and Mathematics