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.
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.
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.
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.
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.
Learn how to depict normal modes and generate animations of protein dynamics along them with NMWiz.
Learn how to identify conserved and coevolved residues and characterizing their dynamical properties.
Learn how to setup and analyze druggability simulations containing small organic molecules using DruGUI.
Learn how to perform normal mode analysis and developing customized force constant functions.
Learn how to analyze large and heterogeneous ensembles of protein structures to infer dynamical properties.
Learn how to compare and align structures, identify ligand contacts, and extract ligands from PDB files.
Learn how to analyze simulation trajectories, in particular handling large trajectory files that don't fit in memory.
Learn how to generate alternate protein conformations along ANM modes and to refine them using NAMD.
Learn how to sample transition pathways between known conformers using a multiscale hybrid methodology.
Learn how to include the effect of lipid bilayer in ENM study of membrane proteins dynamics.
Learn how to evaluate the effective resistance of residues to deformation in the particular 3D structure
Let us know any problems you might have by opening an issue at the tracker so that we can make ProDy better.