AbstractProtein conformational dynamics, despite its significant anharmonicity, has been widely explored by normal mode analysis (NMA) based on atomic or coarse-grained potential functions. To account for the anharmonic aspects of protein dynamics, this study proposes, and has performed, an anharmonic NMA (ANMA) based on the Cα-only elastic network models, which assume elastic interactions between pairs of residues whose Cα atoms or heavy atoms are within a cutoff distance. The key step of ANMA is to sample an anharmonic potential function along the directions of eigenvectors of the lowest normal modes to determine the mean-squared fluctuations along these directions. ANMA was evaluated based on the modeling of anisotropic displacement para...
Elastic network models (ENMs) have been widely used in the last decades to investigate protein motio...
Elastic network models (ENMs) have been widely used in the last decades to investigate protein motio...
AbstractBased on the elastic network model, we develop a novel method that predicts the conformation...
AbstractNormal mode analysis using elastic network models has grown popular for probing the low-freq...
SummaryNormal mode analysis offers an efficient way of modeling the conformational flexibility of pr...
Normal mode analysis (NMA) methods are widely used to study dynamic aspects of protein structures. T...
AbstractNormal mode analysis using elastic network models has grown popular for probing the low-freq...
<div><p>Normal mode analysis (NMA) methods are widely used to study dynamic aspects of protein struc...
AbstractCoarse-grained elastic models with a Cα-only representation and harmonic interactions have b...
International audienceCoarse-grained normal mode analyses of protein dynamics rely on the idea that ...
International audienceCoarse-grained normal mode analyses of protein dynamics rely on the idea that ...
SummaryNormal mode analysis offers an efficient way of modeling the conformational flexibility of pr...
Motivation: A common practice in X-ray crystallographic structure 15 refinement has been to model at...
Low-frequency normal modes generated by elastic network models tend to correlate strongly with large...
ABSTRACT More than two decades of different types of mode analyses has shown that these techniques c...
Elastic network models (ENMs) have been widely used in the last decades to investigate protein motio...
Elastic network models (ENMs) have been widely used in the last decades to investigate protein motio...
AbstractBased on the elastic network model, we develop a novel method that predicts the conformation...
AbstractNormal mode analysis using elastic network models has grown popular for probing the low-freq...
SummaryNormal mode analysis offers an efficient way of modeling the conformational flexibility of pr...
Normal mode analysis (NMA) methods are widely used to study dynamic aspects of protein structures. T...
AbstractNormal mode analysis using elastic network models has grown popular for probing the low-freq...
<div><p>Normal mode analysis (NMA) methods are widely used to study dynamic aspects of protein struc...
AbstractCoarse-grained elastic models with a Cα-only representation and harmonic interactions have b...
International audienceCoarse-grained normal mode analyses of protein dynamics rely on the idea that ...
International audienceCoarse-grained normal mode analyses of protein dynamics rely on the idea that ...
SummaryNormal mode analysis offers an efficient way of modeling the conformational flexibility of pr...
Motivation: A common practice in X-ray crystallographic structure 15 refinement has been to model at...
Low-frequency normal modes generated by elastic network models tend to correlate strongly with large...
ABSTRACT More than two decades of different types of mode analyses has shown that these techniques c...
Elastic network models (ENMs) have been widely used in the last decades to investigate protein motio...
Elastic network models (ENMs) have been widely used in the last decades to investigate protein motio...
AbstractBased on the elastic network model, we develop a novel method that predicts the conformation...