This upload contains python and R code used to analyse the covariance structure of proteins. It supports creating coarse grained elastic network models from PDB files, constructing covariance matrices from Molecular Dynamics trajectories, and quantifying and visualizing similarities of covariance matrices. This code was used to perform the analysis published in Fuglebakk et al. JCTC 2013 (listed under Related/alternate identifiers). The archive also contains parameter files for some of the Molecular Dynamics simulations analysed in Fuglebakk et al., and processed trajectory files containing alpha carbon positions superimposed on starting configuration for the simulation of: lysozyme, ATCase, myoglobin, trio and human prion protein
A novel theoretical methodology is described that allows the identification of dynamic structural do...
Abstract Background Essential Dynamics (ED) is a common application of principal component analysis ...
International audienceProteins are highly dynamic macromolecules. To analyze their inherent flexibil...
This upload contains python and R code used to analyse the covariance structure of proteins. It supp...
<p>This upload contains python and R code used to analyse the covariance structure of proteins. It s...
As genomic repositories increasingly grow with a variety of data from a multitude of organisms, the ...
The zip file contains1. The spring constant data obtained from structure mechanics statistical learn...
The functional properties of proteins are decided not only by their relatively rigid overall structu...
More than 1700 trajectories of proteins representative of monomeric soluble structures in the protei...
Summary: We developed a Python package, ProDy, for structure-based analysis of protein dynamics. Pro...
International audienceAbstract Summary Both dynamic correlations in protein sidechain motions during...
SummaryMore than 1700 trajectories of proteins representative of monomeric soluble structures in the...
Using the PathMolD-AB software, four datasets of protein folding trajectories were produced as case ...
The first chapter is devoted to a brief summary of the basic techniques commonly used to characteri...
Investigating correlations is the key to understanding the nature of biological systems. In general,...
A novel theoretical methodology is described that allows the identification of dynamic structural do...
Abstract Background Essential Dynamics (ED) is a common application of principal component analysis ...
International audienceProteins are highly dynamic macromolecules. To analyze their inherent flexibil...
This upload contains python and R code used to analyse the covariance structure of proteins. It supp...
<p>This upload contains python and R code used to analyse the covariance structure of proteins. It s...
As genomic repositories increasingly grow with a variety of data from a multitude of organisms, the ...
The zip file contains1. The spring constant data obtained from structure mechanics statistical learn...
The functional properties of proteins are decided not only by their relatively rigid overall structu...
More than 1700 trajectories of proteins representative of monomeric soluble structures in the protei...
Summary: We developed a Python package, ProDy, for structure-based analysis of protein dynamics. Pro...
International audienceAbstract Summary Both dynamic correlations in protein sidechain motions during...
SummaryMore than 1700 trajectories of proteins representative of monomeric soluble structures in the...
Using the PathMolD-AB software, four datasets of protein folding trajectories were produced as case ...
The first chapter is devoted to a brief summary of the basic techniques commonly used to characteri...
Investigating correlations is the key to understanding the nature of biological systems. In general,...
A novel theoretical methodology is described that allows the identification of dynamic structural do...
Abstract Background Essential Dynamics (ED) is a common application of principal component analysis ...
International audienceProteins are highly dynamic macromolecules. To analyze their inherent flexibil...