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.
ProDy Project
ProDy is a free and open-source Python package for protein structural dynamics analysis.
It is designed as a flexible and responsive API suitable for interactive usage and application development.
Structure analysis
ProDy has fast and flexible
PDB and
DCD file parsers,
and powerful and customizable atom selections
for contact identification,
structure comparisons,
and rapid implementation of new methods.
Dynamics analysis
- Principal component analysis can be performed for
-
Normal mode analysis can be performed using
Dynamics from experimental datasets, theoretical models and simulations can be visualized
using NMWiz.
Reference
Bakan A, Meireles LM, Bahar I
ProDy: Protein Dynamics Inferred from Theory and Experiments
2011 Bioinformatics 27(11):1575-1577
Bakan A, Dutta A, Mao W, Liu Y, Chennubhotla C, Lezon TR, Bahar I
Evol and ProDy for Bridging Protein Sequence Evolution and Structural Dynamics
2014 Bioinformatics 30(18):2681-2683
Funding
Continued development of ProDy is supported by
NIH through R01 GM099738 award.
Source Code
ProDy is open source
and you can contribute to its development in many ways.
See this guide for getting started.
Problems?
Let us know any problems you might have by opening an issue at the
tracker
so that we can make ProDy better.