By focusing on essential features, while averaging over less important details, coarse-
grained (CG) models provide significant computational and conceptual advantages with …

Considerable progress has been recently achieved in the multiscale modeling of complex
biological processes. Multiscale models have now investigated the structure and dynamics …

Structure-based and physics-based coarse-grained molecular force fields have become
attractive approaches to gain mechanistic insight into the function of large biomolecular …

Elastic network models (ENMs) are entropic models that have demonstrated in many
previous studies their abilities to capture overall the important internal motions, with …

By eliminating unnecessary degrees of freedom, coarse-grained (CG) models tremendously
facilitate numerical calculations and theoretical analyses of complex phenomena. However …

Essential proteins are indispensable for cellular life. It is of great significance to identify
essential proteins that can help us understand the minimal requirements for cellular life and …

While the energy landscape theory of protein folding is now a widely accepted view for
understanding how relatively weak molecular interactions lead to rapid and cooperative …

Principal component analysis (PCA) and normal mode analysis (NMA) have emerged as
two invaluable tools for studying conformational changes in proteins. To compare these …

122The fast-develo** field of RNA nanotechnology requires the adoption and
development of novel and faster computational approaches to modeling and …

Normal mode analysis offers an efficient way of modeling the conformational flexibility of
protein structures. We use anisotropic displacement parameters from crystallography to test …