Dynamics of p38 MAP kinase inferred from a structural ensemble using PCA is compared to intrinsic dynamics of the protein modeled using ANM. See PCA of X-ray structures or Bioinformatics article for more details.
Dynamics of p38 MAP kinase inferred from a structural ensemble using PCA is compared to intrinsic dynamics of the protein modeled using ANM. See PCA of X-ray structures or Bioinformatics article for more details.
Workflow for comparative analysis of sequence evolution and structural dynamics is shown. See Evol Applications or Mol Biol Evol article for more details.
Results from comparative analysis of residue conservation, conformational mobility, and coevolutionary patterns for uracil-DNA glycosylase. See Mol Biol Evol article or Conservation and Coevolution Analysis for more details.
Coevolution of NEF-binding residues analzyed using mutual information is displayed for the Hsp70 ATPase domain. See PLoS Comp Biol article or Conservation and Coevolution Analysis for details.
Comparative analysis of p38 MAP kinase dynamics from experiments (PCA) and theory (ANM). See the PNAS article or figure for details.
Comparative analysis of dynamics of drug target proteins and model systems from experiments (PCA) and theory (ANM). See the Protein Science article for details.
Comparative analysis of p38 MAP kinase dynamics from experiments (PCA), simulations (EDA), and theory (ANM). See the Protein Science article for details.
Animation shows HIV-1 reverse transcriptase functional motions calculated using anisotropic network model. Arrows and animations are generated using NMWiz VMD plugin. See NMWiz tutorial for usage examples.
You can make a quick protein representation in interactive sessions using showProtein() function.
NMWiz is designed for picturing normal modes easy. Image shows arrows from slowest three ANM modes for p38 MAP kinase centered at the origin. They indeed align with planes normal to each other.
NMWiz makes depicting elastic network models and protein motions predicted with them easy. Image shows ANM model for p38 MAP kinase and three slow ANM modes (below).
NMWiz can be used to comparative dynamics inferred from experimental datasets and predicted using theory.
The movie shows a molecular dynamics simulation for assessing the druggability of kinesin eg5. NMWiz VMD plugin. See NMWiz tutorial for usage examples.
Kinesin Eg5 druggable sites, including allosteric inhibitor binding site and and tubulin binding site, identified by simulations are shown. See our publication for details.
Sampling of the functional substates (inward-facing (IF) or outward-facing (OF), in closed (c) or open (o) forms) of LeuT using coMD simulations. See publication for details.
The movie illustrates a coMD trajectory for adenylate kinase. NMWiz VMD plugin. See NMWiz tutorial for usage examples.
Energy landscape in the space of principal coordinates.
Outward-facing (OF) and inward-facing (IF) structures of GltPh show a large displacement of the core domains. See publication for details.
The second mode of the OF structure moves all three transport domains simultaneously through the membrane in a ‘lift-like’ motion. See publication for details.
The second mode of the IF structure moves all three transport domains simultaneously through the membrane in a ‘lift-like’ motion. See publication for details.
Deformability profile of ubiquitin (PDB code: 1UBI). Structure is automatically uploaded to VMD program where blue color shows regions which are mechanically more resistant to the external force.
Mean value of effective spring constant (calculated from mechanical stiffness matrix) with secondary structure of ubiquitin. Blue color indicates mechanically strong regions.
Mechanical Stiffness Map with effective force constant in a color bar (blue - strong regions, red - weak regions) for ubiquitin.
Workflow for GNM analysis of chromatin dynamics. See publication for details.
Covariance matrix of chromosome 17 of human B cells. Structural domains and CCDDs are identified and outlined. See publication for details.
3D Laplacian embedding of chromosome 17 loci using the first three principal modes. See ChromD tutorial for details.
v1.9 series come with new and improved sequence, structure, and dynamics analysis features. See release notes for details.
You can install ProDy and Evol using
pip,
pip install -U ProDy, or by following these steps:
Extract tarball contents and run setup.py as follows:
$ tar -xzf ProDy-1.9.tar.gz $ cd ProDy-1.9 $ python setup.py build $ sudo python setup.py installIf you don’t have root access, see alternate installation schemes in Installing Python Modules.
Execute ProDy-1.9.win32-pyX.Y.exe or ProDy-1.9.win-amd64-pyX.Y.exe file and follow installation steps.
To be able use ProDy Applications and Evol Applications in command prompt (cmd.exe), append Python and scripts folders
(e.g. C:\Python27 and C:\Python27\Scripts) to PATH environment variable.
ProDy is developed in Bahar Lab at the University of Pittsburgh. Click here to see a list of people who contributed to its development.
ProDy makes use of great open source software including NumPy, Pyparsing, Biopython, SciPy, and Matplotlib. Click here for details.
ProDy is open source and you can contribute to its development in many ways. See this guide for getting started.
Let us know any problems you might have by opening an issue at the tracker so that we can make ProDy better.