title: PoreFinding colorFrom: red colorTo: green sdk: streamlit sdk_version: 1.19.0 app_file: app.py pinned: false license: mit

PoreFinding

Try out this protoype on HugginFace without installing anything

Recent advances in structural biology have led to a growing number of ion channel structures featuring heteromeric subunit assembly, exemplified by synaptic Glycine receptors (GlyRs) and α4β2 nicotinic receptors. These structures exhibit inherent pore asymmetry, which has raised questions about the role of asymmetry in ion channel function. Furthermore, molecular dynamics simulations performed on symmetrical homomeric channels often lead to thermal distortion that means conformations of the resulting ensemble are also asymmetrical. We introduce an algorithm that employs ellipsoidal probe particles, enabling a more comprehensive characterization of pore asymmetries. A constriction is more asymmetric for a larger difference between the smaller and larger radius of the ellipsoidal probe particle.

Existing tools for pore pathfinding

• HOLE uses Monte Carlo simulated annealing procedure to find the best route for a sphere with variable radius to squeeze through the channel.
• The Channel Annotation Package CHAP combines calculations of the pore radius, the hydrophobicity of a pore and water density in the pore to predict hydrophobic gates in ion channels.
• Other tools, such as MOLEonline and CAVER, do not use a probe based algorithm for path finding. Cavities are identified using Voronoi diagrams and molecular surfaces.

What does this package add?

• Adding new features to pore-path-finding tools to capture pore asymmetry.
• Capture pore asymmetry.
  • Asymmetry of crystal/cryoEM structures due to heterogeneous subunit composition.
  • From crystal structure broken in simulations.
• Making software tools accessible to the community via an interactive web-service. No installation needed when using the web-page. For python users, we publish an easy-to-install python package.

Path finding with ellipsoidal probe particle

1. Align principal axis to z-axis
2. HOLE analysis with spherical probe particle.
3. Load HOLE output file with positions and radii of probes.
4. Loop through all spherical probe particles: a) Ellipsoid initialized with spherical probe particle parameters from HOLE output. b) First Nelder-Mead 4-dim optimization to insert ellipsoid with smaller bounds for parameters [x, y, r1, θ ]. c) Second optimization with larger boundaries for parameters to further increase ellipsoid. The loop takes around 60s to complete...
5. Plot pathway and render pore surface.

Installation

PoreFinding may be installed as the latest release from PyPI ( pip install PoreFinding ) or in the development version from this github repository. Detailed installation instructions can be found in the documentation.

Links to documentation

You can either upload your proteins of interest to the webservice hosted on hugginface or you can install the PoreFinding python package on your machine. If you decide to use the webservice, you can download all output files and visualisation scripts to produce high quality figures. More information about the output files can be found in the documentation.

To render 3d representations of the pore surface, you can use a variety of software ranging from py3Dmol, VMD to UCSF Chimera. See Visualisation tools.

Notes

Hugging Face Spaces work as git repositories. To keep everything on GitHub but publish on Hugging Face, add the Hugging Face Space repository as a remote repository:

git remote add hf https://huggingface.co/spaces/DSeiferth/PoreFinding_pdb

Acknowledgements

• Rocco Meli for pointing out streamlit and hugginface
• SBCB community for discussion