We introduce a new measure for comparing protein structures that is especially applicable to analysis of molecular dynamics simulation results. The new measure generalizes the widely used root-mean-squared-deviation (RMSD) measure from three dimensional to n-dimensional Euclidean space, where n equals the number of atoms in the protein molecule. The new measure shows that despite significant fluctuations in the three dimensional geometry of the estrogen receptor protein, the protein’s intrinsic contact geometry is remarkably stable over nanosec-ond time scales. The new measure also identifies significant structural changes missed by RMSD for a residue that plays a key biological role in the estrogen receptor protein
Proteins are complex biomolecules which perform critical tasks in living organisms. Knowledge of a p...
Intrinsically disordered proteins (IDPs) are highly dynamic systems that play an important role in c...
The study of intrinsically disordered proteins has rapidly advanced since the identification of the ...
We introduce a new measure for comparing protein structures that is especially applicable to analysi...
We apply moving root-mean-square deviation (mRMSD), which does not require a reference structure, as...
Part of the Dynamic Systems Commons, and the Molecular Biology Commons This Article is brought to yo...
In the study of globular protein conformations, one customarily measures the similarity in three-dim...
The root-mean-square deviation (RMSD) is a similarity measure widely used in analysis of macromolecu...
Proteins are complex biomolecules which perform critical tasks in living organisms. Knowledge of a p...
International audienceThe root mean square deviation (RMSD) and the least RMSD are two widely used s...
This thesis investigates dimensionality reduction for analyzing the dynamics ofprotein simulations, ...
Identifying dynamical, quasi-rigid domains in proteins provides a powerful means for characterizing ...
Identifying dynamical, quasi-rigid domains in proteins provides a powerful means for characterizing ...
The mechanisms by which a protein's 3D structure can be determined based on its amino acid sequence ...
Motivation: The function of a protein depends not only on its struc-ture, but also on its dynamics. ...
Proteins are complex biomolecules which perform critical tasks in living organisms. Knowledge of a p...
Intrinsically disordered proteins (IDPs) are highly dynamic systems that play an important role in c...
The study of intrinsically disordered proteins has rapidly advanced since the identification of the ...
We introduce a new measure for comparing protein structures that is especially applicable to analysi...
We apply moving root-mean-square deviation (mRMSD), which does not require a reference structure, as...
Part of the Dynamic Systems Commons, and the Molecular Biology Commons This Article is brought to yo...
In the study of globular protein conformations, one customarily measures the similarity in three-dim...
The root-mean-square deviation (RMSD) is a similarity measure widely used in analysis of macromolecu...
Proteins are complex biomolecules which perform critical tasks in living organisms. Knowledge of a p...
International audienceThe root mean square deviation (RMSD) and the least RMSD are two widely used s...
This thesis investigates dimensionality reduction for analyzing the dynamics ofprotein simulations, ...
Identifying dynamical, quasi-rigid domains in proteins provides a powerful means for characterizing ...
Identifying dynamical, quasi-rigid domains in proteins provides a powerful means for characterizing ...
The mechanisms by which a protein's 3D structure can be determined based on its amino acid sequence ...
Motivation: The function of a protein depends not only on its struc-ture, but also on its dynamics. ...
Proteins are complex biomolecules which perform critical tasks in living organisms. Knowledge of a p...
Intrinsically disordered proteins (IDPs) are highly dynamic systems that play an important role in c...
The study of intrinsically disordered proteins has rapidly advanced since the identification of the ...