Over the last few years, coarse-grained molecular dynamics has emerged as a way to model
large and complex systems in an efficient and inexpensive manner due to its lowered …

For the simulations of polymeric systems, coarse‐grained (CG) molecular dynamics
simulations are computationally demanding not only because of their high computational …

Machine learning has recently entered into the mainstream of coarse-grained (CG)
molecular modeling and simulation. While a variety of methods for incorporating deep …

Coarse-grained (CG) models can provide computationally efficient and conceptually simple
characterizations of soft matter systems. While generic models probe the underlying physics …

The use of coarse-grained (CG) models is a popular approach to study complex
biomolecular systems. By reducing the number of degrees of freedom, a CG model can …

Potentials routinely used in atomistic molecular dynamics simulations are not always
suitable for modeling systems at coarse-grained resolution. For example, in the calculation …

Molecular dynamics simulations have emerged as a powerful tool to study biological
systems at varied length and timescales. The conventional all-atom molecular dynamics …

Coarse-grained (CG) molecular dynamics enables the study of biological processes at
temporal and spatial scales that would be intractable at an atomistic resolution. However …

Recently, we saw a dramatic increase in the number of researches that rely on coarse-
grained (CG) simulations for large biomolecules. Here, first, we briefly describe recently …

Molecular dynamics with coarse-grained models is nowadays extensively used to simulate
biomolecular systems at large time and size scales, compared to those accessible to all …